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Fully Flash-ready systems support internal Flash, solid- state disks (SSDs), and advanced server cache, so you can achieve optimum performance while minimizing your total investment in Flash. This significantly reduces the total storage capacity you need.\r\nThe ability to scale FAS3200 performance and capacity without disrupting operations brings a new level of agility to midrange storage. As capacity requirements grow, NetApp clustering technology allows seamless scaling of devices, storage volumes, and even entire storage systems residing within a cluster.\r\n<span style=\"font-weight: bold;\">Flash performance</span>\r\nDesigned to deliver more performance than ever before, new FAS3200 models provide up to 80% more I/O per second, enabling you to drive your organization faster. As needs change you can boost performance further using the broad range of Flash products in the NetApp Virtual Storage Tier. This innovative approach combines the inherent latency and throughput benefits of Flash with intelligent caching capabilities, delivering the performance benefits of Flash while keeping total costs low.\r\n<span style=\"font-weight: bold;\">Highly efficient systems</span>\r\nAt NetApp, storage efficiency is part of the DNA. NetApp seeks out every way possible to reduce your cost per effective gigabyte of storage. What’s more, the NetApp OnCommand® management suite automates the process. Efficiency technologies can be invoked with the click of a button or—in the case of NetApp Workflow Automation—can be encapsulated in your data management policies. This further reduces administrator time and helps you achieve optimum storage efficiency throughout your data infrastructure.\r\n<span style=\"font-weight: bold;\">Reliability and availability</span>\r\nThe FAS3200 series is built on the proven enterprise-class availability of the NetApp storage infrastructure. The FAS3200 models leverage from high-end systems by introducing features such as<br />Alternate Control Path (ACP) and service processor. These enhance our already highly available architecture by enabling additional diagnostics and non disruptive recovery.\r\nHA and cluster configurations support nondisruptive maintenance, upgrade, and other operations to eliminate planned downtime and provide even greater availability to meet your needs. You can further boost data availability and meet stringent servicelevel objectives by combining the FAS3200 series with the NetApp Integrated Data Protection portfolio. High-speed, space-efficient Snapshot copies let you capture a copy of a data volume in seconds, while advanced synchronous and asynchronous replication for business continuity can protect you against both planned and unplanned outages. Deduplication and compression are leveraged across both primary and secondary storage, reducing capacity consumption and network usage.\r\n<span style=\"font-weight: bold;\">Maximum platform flexibility</span>\r\nFor midrange storage, the key to success is platform flexibility.<br />FAS3200 models scale from a few terabytes to over 2PB of storage capacity to adapt readily to your growing storage demands. For maximum performance density and to decrease consumption of space, power, and cooling, the FAS3200 series is available with the DS2246 disk shelf. This disk shelf utilizes the latest high-performance hard-disk technology, with small-form-factor 2.5” disk drives that double the capacity per rack unit, conserving valuable data center resources. With midrange storage, available expansion slots can be a limiting factor.<br />The expanded I/O configurations of the FAS3250 model significantly add to the number of PCIe expansion slots available for network cards, Flash cards, and storage connectivity. Should you reach the limits of a FAS3200 system, all models support clustering, providing you with the flexibility to build clustered systems from 2 nodes to 24 nodes—all managed from a single console.","shortDescription":"NetApp FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":16,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp FAS3200 series","keywords":"","description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3","og:title":"NetApp FAS3200 series","og:description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3"},"eventUrl":"","translationId":5032,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":503,"title":"Storage Networking","alias":"storage-networking","description":" A storage area network (SAN) or storage network is a computer network which provides access to consolidated, block-level data storage. SANs are primarily used to enhance accessibility of storage devices, such as disk arrays and tape libraries, to servers so that the devices appear to the operating system as locally-attached devices. A SAN typically is a dedicated network of storage devices not accessible through the local area network (LAN) by other devices, thereby preventing interference of LAN traffic in data transfer.\r\nThe cost and complexity of SANs dropped in the early 2000s to levels allowing wider adoption across both enterprise and small to medium-sized business environments.\r\nA SAN does not provide file abstraction, only block-level operations. However, file systems built on top of SANs do provide file-level access, and are known as shared-disk file systems.\r\nStorage area networks (SANs) are sometimes referred to as network behind the servers and historically developed out of the centralised data storage model, but with its own data network. A SAN is, at its simplest, a dedicated network for data storage. In addition to storing data, SANs allow for the automatic backup of data, and the monitoring of the storage as well as the backup process. A SAN is a combination of hardware and software. It grew out of data-centric mainframe architectures, where clients in a network can connect to several servers that store different types of data. To scale storage capacities as the volumes of data grew, direct-attached storage (DAS) was developed, where disk arrays or just a bunch of disks (JBODs) were attached to servers. In this architecture storage devices can be added to increase storage capacity. However, the server through which the storage devices are accessed is a single point of failure, and a large part of the LAN network bandwidth is used for accessing, storing and backing up data. To solve the single point of failure issue, a direct-attached shared storage architecture was implemented, where several servers could access the same storage device.\r\nDAS was the first network storage system and is still widely implemented where data storage requirements are not very high. Out of it developed the network-attached storage (NAS) architecture, where one or more dedicated file server or storage devices are made available in a LAN. Therefore, the transfer of data, particularly for backup, still takes place over the existing LAN. If more than a terabyte of data was stored at any one time, LAN bandwidth became a bottleneck. Therefore, SANs were developed, where a dedicated storage network was attached to the LAN, and terabytes of data are transferred over a dedicated high speed and bandwidth network. Within the storage network, storage devices are interconnected. Transfer of data between storage devices, such as for backup, happens behind the servers and is meant to be transparent. While in a NAS architecture data is transferred using the TCP and IP protocols over Ethernet, distinct protocols were developed for SANs, such as Fibre Channel, iSCSI, Infiniband. Therefore, SANs often have their own network and storage devices, which have to be bought, installed, and configured. This makes SANs inherently more expensive than NAS architectures.","materialsDescription":"<span style=\"font-weight: bold; \">What is storage virtualization?</span>\r\nA storage area network (SAN) is a dedicated high-speed network or subnetwork that interconnects and presents shared pools of storage devices to multiple servers.\r\nA SAN moves storage resources off the common user network and reorganizes them into an independent, high-performance network. This enables each server to access shared storage as if it were a drive directly attached to the server. When a host wants to access a storage device on the SAN, it sends out a block-based access request for the storage device.\r\nA storage area network is typically assembled using three principle components: cabling, host bus adapters (HBAs), and switches attached to storage arrays and servers. Each switch and storage system on the SAN must be interconnected, and the physical interconnections must support bandwidth levels that can adequately handle peak data activities. IT administrators manage storage area networks centrally.\r\nStorage arrays were initially all hard disk drive systems, but are increasingly populated with flash solid-state drives (SSDs).\r\n<span style=\"font-weight: bold; \">What storage area networks are used for?</span>\r\nFibre Channel (FC) SANs have the reputation of being expensive, complex and difficult to manage. Ethernet-based iSCSI has reduced these challenges by encapsulating SCSI commands into IP packets that don't require an FC connection.\r\nThe emergence of iSCSI means that instead of learning, building and managing two networks -- an Ethernet local area network (LAN) for user communication and an FC SAN for storage -- an organization can use its existing knowledge and infrastructure for both LANs and SANs. This is an especially useful approach in small and midsize businesses that may not have the funds or expertise to support a Fibre Channel SAN.\r\nOrganizations use SANs for distributed applications that need fast local network performance. SANs improve the availability of applications through multiple data paths. They can also improve application performance because they enable IT administrators to offload storage functions and segregate networks.\r\nAdditionally, SANs help increase the effectiveness and use of storage because they enable administrators to consolidate resources and deliver tiered storage. SANs also improve data protection and security. Finally, SANs can span multiple sites, which helps companies with their business continuity strategies.\r\n<span style=\"font-weight: bold;\">Types of network protocols</span>\r\nMost storage networks use the SCSI protocol for communication between servers and disk drive devices.[citation needed] A mapping layer to other protocols is used to form a network:\r\n<ul><li>ATA over Ethernet (AoE), mapping of ATA over Ethernet</li><li>Fibre Channel Protocol (FCP), the most prominent one, is a mapping of SCSI over Fibre Channel</li><li>Fibre Channel over Ethernet (FCoE)</li><li>ESCON over Fibre Channel (FICON), used by mainframe computers</li><li>HyperSCSI, mapping of SCSI over Ethernet</li><li>iFCP or SANoIP mapping of FCP over IP</li><li>iSCSI, mapping of SCSI over TCP/IP</li><li>iSCSI Extensions for RDMA (iSER), mapping of iSCSI over InfiniBand</li><li>Network block device, mapping device node requests on UNIX-like systems over stream sockets like TCP/IP</li><li>SCSI RDMA Protocol (SRP), another SCSI implementation for RDMA transports</li></ul>\r\nStorage networks may also be built using SAS and SATA technologies. SAS evolved from SCSI direct-attached storage. SATA evolved from IDE direct-attached storage. SAS and SATA devices can be networked using SAS Expanders.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_Networking.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[{"id":217,"title":"Ukraine","name":"UKR"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":6,"title":"Ensure Security and Business Continuity"},{"id":254,"title":"Centralize management"},{"id":306,"title":"Manage Risks"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":175,"title":"Aging IT infrastructure"},{"id":348,"title":"No centralized control over IT systems"},{"id":373,"title":"IT infrastructure does not meet business tasks"},{"id":376,"title":"Unstructured data"},{"id":386,"title":"Risk of lost access to data and IT systems"}]}},"categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":503,"title":"Storage Networking","alias":"storage-networking","description":" A storage area network (SAN) or storage network is a computer network which provides access to consolidated, block-level data storage. SANs are primarily used to enhance accessibility of storage devices, such as disk arrays and tape libraries, to servers so that the devices appear to the operating system as locally-attached devices. A SAN typically is a dedicated network of storage devices not accessible through the local area network (LAN) by other devices, thereby preventing interference of LAN traffic in data transfer.\r\nThe cost and complexity of SANs dropped in the early 2000s to levels allowing wider adoption across both enterprise and small to medium-sized business environments.\r\nA SAN does not provide file abstraction, only block-level operations. However, file systems built on top of SANs do provide file-level access, and are known as shared-disk file systems.\r\nStorage area networks (SANs) are sometimes referred to as network behind the servers and historically developed out of the centralised data storage model, but with its own data network. A SAN is, at its simplest, a dedicated network for data storage. In addition to storing data, SANs allow for the automatic backup of data, and the monitoring of the storage as well as the backup process. A SAN is a combination of hardware and software. It grew out of data-centric mainframe architectures, where clients in a network can connect to several servers that store different types of data. To scale storage capacities as the volumes of data grew, direct-attached storage (DAS) was developed, where disk arrays or just a bunch of disks (JBODs) were attached to servers. In this architecture storage devices can be added to increase storage capacity. However, the server through which the storage devices are accessed is a single point of failure, and a large part of the LAN network bandwidth is used for accessing, storing and backing up data. To solve the single point of failure issue, a direct-attached shared storage architecture was implemented, where several servers could access the same storage device.\r\nDAS was the first network storage system and is still widely implemented where data storage requirements are not very high. Out of it developed the network-attached storage (NAS) architecture, where one or more dedicated file server or storage devices are made available in a LAN. Therefore, the transfer of data, particularly for backup, still takes place over the existing LAN. If more than a terabyte of data was stored at any one time, LAN bandwidth became a bottleneck. Therefore, SANs were developed, where a dedicated storage network was attached to the LAN, and terabytes of data are transferred over a dedicated high speed and bandwidth network. Within the storage network, storage devices are interconnected. Transfer of data between storage devices, such as for backup, happens behind the servers and is meant to be transparent. While in a NAS architecture data is transferred using the TCP and IP protocols over Ethernet, distinct protocols were developed for SANs, such as Fibre Channel, iSCSI, Infiniband. Therefore, SANs often have their own network and storage devices, which have to be bought, installed, and configured. This makes SANs inherently more expensive than NAS architectures.","materialsDescription":"<span style=\"font-weight: bold; \">What is storage virtualization?</span>\r\nA storage area network (SAN) is a dedicated high-speed network or subnetwork that interconnects and presents shared pools of storage devices to multiple servers.\r\nA SAN moves storage resources off the common user network and reorganizes them into an independent, high-performance network. This enables each server to access shared storage as if it were a drive directly attached to the server. When a host wants to access a storage device on the SAN, it sends out a block-based access request for the storage device.\r\nA storage area network is typically assembled using three principle components: cabling, host bus adapters (HBAs), and switches attached to storage arrays and servers. Each switch and storage system on the SAN must be interconnected, and the physical interconnections must support bandwidth levels that can adequately handle peak data activities. IT administrators manage storage area networks centrally.\r\nStorage arrays were initially all hard disk drive systems, but are increasingly populated with flash solid-state drives (SSDs).\r\n<span style=\"font-weight: bold; \">What storage area networks are used for?</span>\r\nFibre Channel (FC) SANs have the reputation of being expensive, complex and difficult to manage. Ethernet-based iSCSI has reduced these challenges by encapsulating SCSI commands into IP packets that don't require an FC connection.\r\nThe emergence of iSCSI means that instead of learning, building and managing two networks -- an Ethernet local area network (LAN) for user communication and an FC SAN for storage -- an organization can use its existing knowledge and infrastructure for both LANs and SANs. This is an especially useful approach in small and midsize businesses that may not have the funds or expertise to support a Fibre Channel SAN.\r\nOrganizations use SANs for distributed applications that need fast local network performance. SANs improve the availability of applications through multiple data paths. They can also improve application performance because they enable IT administrators to offload storage functions and segregate networks.\r\nAdditionally, SANs help increase the effectiveness and use of storage because they enable administrators to consolidate resources and deliver tiered storage. SANs also improve data protection and security. Finally, SANs can span multiple sites, which helps companies with their business continuity strategies.\r\n<span style=\"font-weight: bold;\">Types of network protocols</span>\r\nMost storage networks use the SCSI protocol for communication between servers and disk drive devices.[citation needed] A mapping layer to other protocols is used to form a network:\r\n<ul><li>ATA over Ethernet (AoE), mapping of ATA over Ethernet</li><li>Fibre Channel Protocol (FCP), the most prominent one, is a mapping of SCSI over Fibre Channel</li><li>Fibre Channel over Ethernet (FCoE)</li><li>ESCON over Fibre Channel (FICON), used by mainframe computers</li><li>HyperSCSI, mapping of SCSI over Ethernet</li><li>iFCP or SANoIP mapping of FCP over IP</li><li>iSCSI, mapping of SCSI over TCP/IP</li><li>iSCSI Extensions for RDMA (iSER), mapping of iSCSI over InfiniBand</li><li>Network block device, mapping device node requests on UNIX-like systems over stream sockets like TCP/IP</li><li>SCSI RDMA Protocol (SRP), another SCSI implementation for RDMA transports</li></ul>\r\nStorage networks may also be built using SAS and SATA technologies. SAS evolved from SCSI direct-attached storage. SATA evolved from IDE direct-attached storage. SAS and SATA devices can be networked using SAS Expanders.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_Networking.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"http://it-forum.com.ua/itforum/wiw_itf.php?ID=7678","title":"Media"}},"comments":[],"referencesCount":0}],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":0,"vendorImplementationsCount":1,"vendorPartnersCount":0,"supplierPartnersCount":7,"b4r":0,"categories":{"7":{"id":7,"title":"Storage - General-Purpose Disk Arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png","alias":"storage-general-purpose-disk-arrays"},"501":{"id":501,"title":"All-flash and Hybrid Storage","description":" Costs have come down making hybrid and all-flash enterprise storage solutions the preferred choice for storing, processing and moving the massive volumes of business data generated in today’s cloud, mobile and IoT environment.\r\nll-flash storage arrays utilize solid-state drives (SSDs) to deliver high-performance and low-latency workloads using data compression and deduplication technologies. Hybrid Storage combines those same solid-state drives (SSDs) with SAS or NL-SAS drives to offer a more cost-effective storage solution that balances cost with superior performance and high storage density.\r\nBoth options lower the complexity of providing scale-out performance at ultralow latency for data-intensive loads and big data analytics.\r\nWhether you are building a new storage array or refreshing your existing storage infrastructure we will work with you to plan, source, install and configure a storage solution to meet you budgetary and business requirements.","materialsDescription":" <span style=\"font-weight: bold;\">What is flash storage and what is it used for?</span>\r\nFlash storage is any storage repository that uses flash memory. Flash memory comes in many form factors, and you probably use flash storage every day. From a single Flash chip on a simple circuit board attached to your computing device via USB to circuit boards in your phone or MP3 player, to a fully integrated “Enterprise Flash Disk” where lots of chips are attached to a circuit board in a form factor that can be used in place of a spinning disk.\r\n<span style=\"font-weight: bold;\">What is flash storage SSD?</span>\r\nA “Solid State Disk” or EFD “Enterprise Flash Disk” is a fully integrated circuit board where many Flash chips are engineered to represent a single Flash disk. Primarily used to replace a traditional spinning disk, SSDs are used in MP3 players, laptops, servers and enterprise storage systems.\r\n<span style=\"font-weight: bold;\">What is the difference between flash storage and SSD?</span>\r\nFlash storage is a reference to any device that can function as a storage repository. Flash storage can be a simple USB device or a fully integrated All-Flash Storage Array. SSD, “Solid State Disk” is an integrated device designed to replace spinning media, commonly used in enterprise storage arrays.\r\n<span style=\"font-weight: bold;\">What is the difference between flash storage and traditional hard drives?</span>\r\nA traditional hard drive leveraged rotating platters and heads to read data from a magnetic device, comparable to a traditional record player; while flash storage leveraged electronic media or flash memory, to vastly improve performance. Flash eliminates rotational delay and seeks time, functions that add latency to traditional storage media.\r\n<span style=\"font-weight: bold;\">What is the difference between an all-flash array and a hybrid array?</span>\r\nA Hybrid Storage Array uses a combination of spinning disk drives and Flash SSD. Along with the right software, a Hybrid Array can be configured to improve overall performance while reducing cost. An All-Flash-Array is designed to support only SSD media.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Al_flash_and_Hybrid_Storage.png","alias":"all-flash-and-hybrid-storage"},"503":{"id":503,"title":"Storage Networking","description":" A storage area network (SAN) or storage network is a computer network which provides access to consolidated, block-level data storage. SANs are primarily used to enhance accessibility of storage devices, such as disk arrays and tape libraries, to servers so that the devices appear to the operating system as locally-attached devices. A SAN typically is a dedicated network of storage devices not accessible through the local area network (LAN) by other devices, thereby preventing interference of LAN traffic in data transfer.\r\nThe cost and complexity of SANs dropped in the early 2000s to levels allowing wider adoption across both enterprise and small to medium-sized business environments.\r\nA SAN does not provide file abstraction, only block-level operations. However, file systems built on top of SANs do provide file-level access, and are known as shared-disk file systems.\r\nStorage area networks (SANs) are sometimes referred to as network behind the servers and historically developed out of the centralised data storage model, but with its own data network. A SAN is, at its simplest, a dedicated network for data storage. In addition to storing data, SANs allow for the automatic backup of data, and the monitoring of the storage as well as the backup process. A SAN is a combination of hardware and software. It grew out of data-centric mainframe architectures, where clients in a network can connect to several servers that store different types of data. To scale storage capacities as the volumes of data grew, direct-attached storage (DAS) was developed, where disk arrays or just a bunch of disks (JBODs) were attached to servers. In this architecture storage devices can be added to increase storage capacity. However, the server through which the storage devices are accessed is a single point of failure, and a large part of the LAN network bandwidth is used for accessing, storing and backing up data. To solve the single point of failure issue, a direct-attached shared storage architecture was implemented, where several servers could access the same storage device.\r\nDAS was the first network storage system and is still widely implemented where data storage requirements are not very high. Out of it developed the network-attached storage (NAS) architecture, where one or more dedicated file server or storage devices are made available in a LAN. Therefore, the transfer of data, particularly for backup, still takes place over the existing LAN. If more than a terabyte of data was stored at any one time, LAN bandwidth became a bottleneck. Therefore, SANs were developed, where a dedicated storage network was attached to the LAN, and terabytes of data are transferred over a dedicated high speed and bandwidth network. Within the storage network, storage devices are interconnected. Transfer of data between storage devices, such as for backup, happens behind the servers and is meant to be transparent. While in a NAS architecture data is transferred using the TCP and IP protocols over Ethernet, distinct protocols were developed for SANs, such as Fibre Channel, iSCSI, Infiniband. Therefore, SANs often have their own network and storage devices, which have to be bought, installed, and configured. This makes SANs inherently more expensive than NAS architectures.","materialsDescription":"<span style=\"font-weight: bold; \">What is storage virtualization?</span>\r\nA storage area network (SAN) is a dedicated high-speed network or subnetwork that interconnects and presents shared pools of storage devices to multiple servers.\r\nA SAN moves storage resources off the common user network and reorganizes them into an independent, high-performance network. This enables each server to access shared storage as if it were a drive directly attached to the server. When a host wants to access a storage device on the SAN, it sends out a block-based access request for the storage device.\r\nA storage area network is typically assembled using three principle components: cabling, host bus adapters (HBAs), and switches attached to storage arrays and servers. Each switch and storage system on the SAN must be interconnected, and the physical interconnections must support bandwidth levels that can adequately handle peak data activities. IT administrators manage storage area networks centrally.\r\nStorage arrays were initially all hard disk drive systems, but are increasingly populated with flash solid-state drives (SSDs).\r\n<span style=\"font-weight: bold; \">What storage area networks are used for?</span>\r\nFibre Channel (FC) SANs have the reputation of being expensive, complex and difficult to manage. Ethernet-based iSCSI has reduced these challenges by encapsulating SCSI commands into IP packets that don't require an FC connection.\r\nThe emergence of iSCSI means that instead of learning, building and managing two networks -- an Ethernet local area network (LAN) for user communication and an FC SAN for storage -- an organization can use its existing knowledge and infrastructure for both LANs and SANs. This is an especially useful approach in small and midsize businesses that may not have the funds or expertise to support a Fibre Channel SAN.\r\nOrganizations use SANs for distributed applications that need fast local network performance. SANs improve the availability of applications through multiple data paths. They can also improve application performance because they enable IT administrators to offload storage functions and segregate networks.\r\nAdditionally, SANs help increase the effectiveness and use of storage because they enable administrators to consolidate resources and deliver tiered storage. SANs also improve data protection and security. Finally, SANs can span multiple sites, which helps companies with their business continuity strategies.\r\n<span style=\"font-weight: bold;\">Types of network protocols</span>\r\nMost storage networks use the SCSI protocol for communication between servers and disk drive devices.[citation needed] A mapping layer to other protocols is used to form a network:\r\n<ul><li>ATA over Ethernet (AoE), mapping of ATA over Ethernet</li><li>Fibre Channel Protocol (FCP), the most prominent one, is a mapping of SCSI over Fibre Channel</li><li>Fibre Channel over Ethernet (FCoE)</li><li>ESCON over Fibre Channel (FICON), used by mainframe computers</li><li>HyperSCSI, mapping of SCSI over Ethernet</li><li>iFCP or SANoIP mapping of FCP over IP</li><li>iSCSI, mapping of SCSI over TCP/IP</li><li>iSCSI Extensions for RDMA (iSER), mapping of iSCSI over InfiniBand</li><li>Network block device, mapping device node requests on UNIX-like systems over stream sockets like TCP/IP</li><li>SCSI RDMA Protocol (SRP), another SCSI implementation for RDMA transports</li></ul>\r\nStorage networks may also be built using SAS and SATA technologies. SAS evolved from SCSI direct-attached storage. SATA evolved from IDE direct-attached storage. SAS and SATA devices can be networked using SAS Expanders.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_Networking.png","alias":"storage-networking"},"505":{"id":505,"title":"Entry Level Storage","description":" Ready-made entry-level storage systems are often used in various solutions for the SMB segment: disk space consolidation, virtualization, various cluster solutions requiring shared block access.\r\nKey architecture features of most entry-level storage systems on the market:\r\n<ul><li>Use one or two hot-swap controllers that use disk sharing. The controller means a specialized server in a special form factor that provides storage operation (working with disks, servicing arrays and providing volumes to hosts, etc.).</li><li>The presence of two controllers provides an increase in the overall reliability of storage - the ability to avoid downtime during the planned shutdown or failure of one of the controllers) and additional scaling of performance when distributing volumes across different controllers. When using the write cache, its integrity is protected: power protection (regular battery or ionistors plus flash memory reset) and duplication of content between controllers.</li><li>The choice of host interfaces: 16 and 8 Gb FiberChannel, 1 and 10 Gb Ethernet (iSCSI, some models may have FCoE support), SAS. For some models, there are combined options, for example, FC + SAS.</li><li>It is possible to connect additional disk shelves (simple cases with SAS expanders) through the SAS interface. To increase the reliability of the connection, a 2-way connection can be applied (below is an example of one of the possible connection schemes).</li></ul>","materialsDescription":" <span style=\"font-weight: bold;\">What Is Entry-Level Storage?</span>\r\nEntry-level flash storage is simple, smart, secure, affordable, high-performance data storage for enterprises to start small and grow with seamless cloud connectivity as business requirements increase.\r\nOrganizations large and small are navigating at a rapid pace of change in a data-driven economy. Delivering data simply, quickly, and cost-effectively is essential to driving business growth, and the hybrid cloud has emerged as the most efficient way to meet changing business needs. Every IT organization is trying to determine how to modernize with hybrid cloud, and all-flash storage systems are critical on-premises to speed up enterprise applications. However, small enterprises have continued to use hard disk storage systems because of the high cost of all-flash solutions.\r\nAn entry-level storage system offers compact, dense, cost-effective, and easy-to-use storage. These storage systems can be deployed in small offices, small enterprises, and remote locations to run both file and block workloads effectively and efficiently. A simple storage system should support multiple protocols, including FC, NFS, SMB/CIFS, iSCSI, and FCoE, to help customers consolidate multiple applications onto a single simple system. It must be easy to install and deploy, secure and provide flexibility to connect to the cloud.\r\nEntry-level flash storage systems help accelerate all applications, consolidate workloads with better user experience, more effective storage and offer the best value to the customer.\r\n<span style=\"font-weight: bold;\">What Are the Benefits of Entry-Level Storage?</span>\r\n The benefits of entry-level storage include:\r\n<ul><li>Improved user experience with fast, secure, and continuous access to data;</li><li>Improved storage efficiency;</li><li>Reduced cost through improved TCO;</li><li>Increased ability for IT to support new business opportunities by leveraging the latest technologies like artificial intelligence (AI), machine learning (ML), deep learning (DL), and cloud.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Entry_Level_Storage.png","alias":"entry-level-storage"},"507":{"id":507,"title":"Mission Critical Storage","description":" As enterprises become more digital, the role of mission-critical applications on which the functioning of the business depends. In practice, this requires more platform flexibility to serve both traditional applications and modern cloud computing.\r\nIT professionals who are already fully loaded with support for traditional corporate tools, such as virtualization or database management systems, have to implement and maintain modern applications such as containers or analytics.\r\nServer virtualization has almost become the main driver for the development of storage virtualization, especially since virtual machines have already penetrated quite a lot into the critical applications segment.\r\nData storage systems help to cope with the ever-growing volumes of data, allowing you to effectively work with information. Storage systems for mission-critical applications are focused on the needs of companies of various sizes - from remote branches to large enterprises with significant amounts of information.\r\nAlso many factors affect the selection of a data center location, but utility infrastructure, uptime, talent, and speed are always the focal points.\r\nFew people are unaware of the large electric loads (usage) of data centers. Naturally, due to the amount of power they need, data centers are very price-sensitive to a location’s cost of electricity. The cost is more than centers per kWh, though. Data centers have unique ramp-up needs and reserved capacity demands. The utility’s ability to accommodate these requirements can have a significant impact on cost. Likewise, the mission-critical aspect of the data center, requiring it to be online at all times, drives rigorous power redundancy and reliability requirements. The utility’s “cost-to-serve” and revenue credit policies must be factored into the overall cost of providing the requisite power.","materialsDescription":" <span style=\"font-weight: bold;\">What is mission-critical data?</span>\r\nA 'mission-critical' operation, system or facility may sound fairly straightforward – something that is essential to the overall operations of a business or process within a business. Essentially, something that is critical to the mission.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Mission_Critical_Storage.png","alias":"mission-critical-storage"},"876":{"id":876,"title":"Object Storage","description":"Object storage (also known as object-based storage) is a computer data storage architecture that manages data as objects, as opposed to other storage architectures like file systems which manages data as a file hierarchy, and block storage which manages data as blocks within sectors and tracks. Each object typically includes the data itself, a variable amount of metadata, and a globally unique identifier. Object storage can be implemented at multiple levels, including the device level (object-storage device), the system level, and the interface level. In each case, object storage seeks to enable capabilities not addressed by other storage architectures, like interfaces that can be directly programmable by the application, a namespace that can span multiple instances of physical hardware, and data-management functions like data replication and data distribution at object-level granularity.\r\nObject storage systems allow retention of massive amounts of unstructured data. Object storage is used for purposes such as storing photos on Facebook, songs on Spotify, or files in online collaboration services, such as Dropbox.\r\nObject storage is a method of data storage that emerged in the mid-1990s as researchers foresaw that existing storage methods would eventually start to show their limitations in certain scenarios. True to its name, object storage treats data as discrete units, or objects, that are accompanied by metadata and a universally unique identifier (UUID). This unstructured data resides in a flat (as opposed to tiered) address space called a storage pool. Object storage is also known for its compatibility with cloud computing, due to its unlimited scalability and faster data retrieval.\r\nToday, as data comes to underpin everything we do, the adoption of object storage systems has increased. It’s common in data centers and popular cloud-based platforms, such as Google cloud storage or Amazon cloud storage, and has become the de facto standard in several enterprise use cases.<br /><br />","materialsDescription":"<span style=\"font-weight: bold;\">What is Object Storage?</span>\r\nIn the modern world of cloud computing, object storage is the storage and retrieval of unstructured blobs of data and metadata using an HTTP API. Instead of breaking files down into blocks to store it on disk using a file system, we deal with whole objects stored over the network. These objects could be an image file, logs, HTML files, or any self-contained blob of bytes. They are unstructured because there is no specific schema or format they need to follow.<br />Object storage took off because it greatly simplified the developer experience. Because the API consists of standard HTTP requests, libraries were quickly developed for most programming languages. Saving a blob of data became as easy as an HTTP PUT request to the object store. Retrieving the file and metadata is a normal GET request. Further, most object storage services can also serve the files publicly to your users, removing the need to maintain a web server to host static assets.\r\nOn top of that, object storage services charge only for the storage space you use (some also charge per HTTP request, and for transfer bandwidth). This is a boon for small developers, who can get world-class storage and hosting of assets at costs that scale with use.\r\n<span style=\"font-weight: bold;\">What are the advantages of object storage?</span>\r\n<ul><li>A simple HTTP API, with clients available for all major operating systems and programming languages</li><li>A cost structure that means you only pay for what you use</li><li>Built-in public serving of static assets means one less server for you to run yourself</li><li>Some object stores offer built-in CDN integration, which caches your assets around the globe to make downloads and page loads faster for your users</li><li>Optional versioning means you can retrieve old versions of objects to recover from accidental overwrites of data</li><li>Object storage services can easily scale from modest needs to really intense use-cases without the developer having to launch more resources or rearchitect to handle the load</li><li>Using an object storage service means you don’t have to maintain hard drives and RAID arrays, as that’s handled by the service provider</li><li>Being able to store chunks of metadata alongside your data blob can further simplify your application architecture</li></ul>\r\n<span style=\"font-weight: bold;\">What are the disadvantages of object storage?</span>\r\n<ul><li>You can’t use object storage services to back a traditional database, due to the high latency of such services</li><li>Object storage doesn’t allow you to alter just a piece of a data blob, you must read and write an entire object at once. This has some performance implications. For instance, on a file system, you can easily append a single line to the end of a log file. On an object storage system, you’d need to retrieve the object, add the new line, and write the entire object back. This makes object storage less ideal for data that changes very frequently</li><li>Operating systems can’t easily mount an object store like a normal disk. There are some clients and adapters to help with this, but in general, using and browsing an object store is not as simple as flipping through directories in a file browser</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/jhghj.png","alias":"object-storage"}},"branches":"Information Technology","companyUrl":"www.netapp.com","countryCodes":[],"certifications":[{"id":442,"company_id":320,"title":"NetApp Certified Implementation Engineer - NCIE","type":"technical"},{"id":443,"company_id":320,"title":"NetApp Certified Storage Installation Engineer - NCSIE","type":"technical"},{"id":444,"company_id":320,"title":"Cisco and NetApp FlexPod Specialist","type":"technical"},{"id":445,"company_id":320,"title":"NetApp Certified Data Administrator - ONTAP","type":"technical"},{"id":446,"company_id":320,"title":"NetApp Certified Support Engineer","type":"technical"},{"id":447,"company_id":320,"title":"NetApp Certified Storage Associate - Hybrid Cloud","type":"technical"}],"isSeller":true,"isSupplier":false,"isVendor":true,"presenterCodeLng":"","seo":{"title":"NetApp","keywords":"NetApp, data, manage, including, 1995, store, systems, offers","description":"NetApp, Inc. is an American multinational storage and data management company headquartered in Sunnyvale, California. It is a member of the NASDAQ-100, and has ranked in the Fortune 500 since 2012. Founded in 1992 with an IPO in 1995, NetApp offers software, s","og:title":"NetApp","og:description":"NetApp, Inc. is an American multinational storage and data management company headquartered in Sunnyvale, California. It is a member of the NASDAQ-100, and has ranked in the Fortune 500 since 2012. Founded in 1992 with an IPO in 1995, NetApp offers software, s","og:image":"https://old.roi4cio.com/uploads/roi/company/netapp.png"},"eventUrl":"","vendorPartners":[],"supplierPartners":[{"supplier":"IT Solutions Ukraine","partnershipLevel":"","countries":"","partnersType":""},{"supplier":"De Novo","partnershipLevel":"Service Provider","countries":"","partnersType":""},{"supplier":"Integrity Systems","partnershipLevel":"","countries":"","partnersType":""},{"supplier":"MUK (supplier)","partnershipLevel":"Distributor","countries":"Republic of Belarus, Republic of Moldova, Ukraine","partnersType":""},{"supplier":"MEGATRADE","partnershipLevel":"Distributor","countries":"Ukraine","partnersType":""},{"supplier":"ABRIS Distribution","partnershipLevel":"Distributor","countries":"Republic of Armenia, Republic of Azerbaijan, Kyrgyzstan, Republic of Kazakhstan, Republic of Moldova, Republic of Tajikistan, Republic of Turkmenistan, Republic of Uzbekistan","partnersType":""},{"supplier":"Eacs","partnershipLevel":"","countries":"","partnersType":""}],"vendoredProducts":[{"id":5031,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/FAS32701.jpg","logo":true,"scheme":false,"title":"NetApp FAS3200 series","vendorVerified":0,"rating":"0.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-fas3200-series","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3200 series lets you seamlessly scale your storage infrastructure to support demanding business applications and requirements, no matter how quickly your organization changes.\r\nThe FAS3200 series is a midrange platform tailored to deliver the performance, expandability, and capacity scaling critical to the needs of your organization. Fully Flash-ready systems support internal Flash, solid- state disks (SSDs), and advanced server cache, so you can achieve optimum performance while minimizing your total investment in Flash. This significantly reduces the total storage capacity you need.\r\nThe ability to scale FAS3200 performance and capacity without disrupting operations brings a new level of agility to midrange storage. As capacity requirements grow, NetApp clustering technology allows seamless scaling of devices, storage volumes, and even entire storage systems residing within a cluster.\r\n<span style=\"font-weight: bold;\">Flash performance</span>\r\nDesigned to deliver more performance than ever before, new FAS3200 models provide up to 80% more I/O per second, enabling you to drive your organization faster. As needs change you can boost performance further using the broad range of Flash products in the NetApp Virtual Storage Tier. This innovative approach combines the inherent latency and throughput benefits of Flash with intelligent caching capabilities, delivering the performance benefits of Flash while keeping total costs low.\r\n<span style=\"font-weight: bold;\">Highly efficient systems</span>\r\nAt NetApp, storage efficiency is part of the DNA. NetApp seeks out every way possible to reduce your cost per effective gigabyte of storage. What’s more, the NetApp OnCommand® management suite automates the process. Efficiency technologies can be invoked with the click of a button or—in the case of NetApp Workflow Automation—can be encapsulated in your data management policies. This further reduces administrator time and helps you achieve optimum storage efficiency throughout your data infrastructure.\r\n<span style=\"font-weight: bold;\">Reliability and availability</span>\r\nThe FAS3200 series is built on the proven enterprise-class availability of the NetApp storage infrastructure. The FAS3200 models leverage from high-end systems by introducing features such as<br />Alternate Control Path (ACP) and service processor. These enhance our already highly available architecture by enabling additional diagnostics and non disruptive recovery.\r\nHA and cluster configurations support nondisruptive maintenance, upgrade, and other operations to eliminate planned downtime and provide even greater availability to meet your needs. You can further boost data availability and meet stringent servicelevel objectives by combining the FAS3200 series with the NetApp Integrated Data Protection portfolio. High-speed, space-efficient Snapshot copies let you capture a copy of a data volume in seconds, while advanced synchronous and asynchronous replication for business continuity can protect you against both planned and unplanned outages. Deduplication and compression are leveraged across both primary and secondary storage, reducing capacity consumption and network usage.\r\n<span style=\"font-weight: bold;\">Maximum platform flexibility</span>\r\nFor midrange storage, the key to success is platform flexibility.<br />FAS3200 models scale from a few terabytes to over 2PB of storage capacity to adapt readily to your growing storage demands. For maximum performance density and to decrease consumption of space, power, and cooling, the FAS3200 series is available with the DS2246 disk shelf. This disk shelf utilizes the latest high-performance hard-disk technology, with small-form-factor 2.5” disk drives that double the capacity per rack unit, conserving valuable data center resources. With midrange storage, available expansion slots can be a limiting factor.<br />The expanded I/O configurations of the FAS3250 model significantly add to the number of PCIe expansion slots available for network cards, Flash cards, and storage connectivity. Should you reach the limits of a FAS3200 system, all models support clustering, providing you with the flexibility to build clustered systems from 2 nodes to 24 nodes—all managed from a single console.","shortDescription":"NetApp FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":1,"sellingCount":16,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp FAS3200 series","keywords":"","description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3","og:title":"NetApp FAS3200 series","og:description":"The FAS3200 series is designed for faster performance and more bandwidth with proven NetApp availability.\r\nCombining reliable, high-performance hardware with the world’s most popular storage architecture — the NetApp® Data ONTAP® operating system — NetApp FAS3","og:image":"https://old.roi4cio.com/fileadmin/user_upload/FAS32701.jpg"},"eventUrl":"","translationId":5032,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":503,"title":"Storage Networking","alias":"storage-networking","description":" A storage area network (SAN) or storage network is a computer network which provides access to consolidated, block-level data storage. SANs are primarily used to enhance accessibility of storage devices, such as disk arrays and tape libraries, to servers so that the devices appear to the operating system as locally-attached devices. A SAN typically is a dedicated network of storage devices not accessible through the local area network (LAN) by other devices, thereby preventing interference of LAN traffic in data transfer.\r\nThe cost and complexity of SANs dropped in the early 2000s to levels allowing wider adoption across both enterprise and small to medium-sized business environments.\r\nA SAN does not provide file abstraction, only block-level operations. However, file systems built on top of SANs do provide file-level access, and are known as shared-disk file systems.\r\nStorage area networks (SANs) are sometimes referred to as network behind the servers and historically developed out of the centralised data storage model, but with its own data network. A SAN is, at its simplest, a dedicated network for data storage. In addition to storing data, SANs allow for the automatic backup of data, and the monitoring of the storage as well as the backup process. A SAN is a combination of hardware and software. It grew out of data-centric mainframe architectures, where clients in a network can connect to several servers that store different types of data. To scale storage capacities as the volumes of data grew, direct-attached storage (DAS) was developed, where disk arrays or just a bunch of disks (JBODs) were attached to servers. In this architecture storage devices can be added to increase storage capacity. However, the server through which the storage devices are accessed is a single point of failure, and a large part of the LAN network bandwidth is used for accessing, storing and backing up data. To solve the single point of failure issue, a direct-attached shared storage architecture was implemented, where several servers could access the same storage device.\r\nDAS was the first network storage system and is still widely implemented where data storage requirements are not very high. Out of it developed the network-attached storage (NAS) architecture, where one or more dedicated file server or storage devices are made available in a LAN. Therefore, the transfer of data, particularly for backup, still takes place over the existing LAN. If more than a terabyte of data was stored at any one time, LAN bandwidth became a bottleneck. Therefore, SANs were developed, where a dedicated storage network was attached to the LAN, and terabytes of data are transferred over a dedicated high speed and bandwidth network. Within the storage network, storage devices are interconnected. Transfer of data between storage devices, such as for backup, happens behind the servers and is meant to be transparent. While in a NAS architecture data is transferred using the TCP and IP protocols over Ethernet, distinct protocols were developed for SANs, such as Fibre Channel, iSCSI, Infiniband. Therefore, SANs often have their own network and storage devices, which have to be bought, installed, and configured. This makes SANs inherently more expensive than NAS architectures.","materialsDescription":"<span style=\"font-weight: bold; \">What is storage virtualization?</span>\r\nA storage area network (SAN) is a dedicated high-speed network or subnetwork that interconnects and presents shared pools of storage devices to multiple servers.\r\nA SAN moves storage resources off the common user network and reorganizes them into an independent, high-performance network. This enables each server to access shared storage as if it were a drive directly attached to the server. When a host wants to access a storage device on the SAN, it sends out a block-based access request for the storage device.\r\nA storage area network is typically assembled using three principle components: cabling, host bus adapters (HBAs), and switches attached to storage arrays and servers. Each switch and storage system on the SAN must be interconnected, and the physical interconnections must support bandwidth levels that can adequately handle peak data activities. IT administrators manage storage area networks centrally.\r\nStorage arrays were initially all hard disk drive systems, but are increasingly populated with flash solid-state drives (SSDs).\r\n<span style=\"font-weight: bold; \">What storage area networks are used for?</span>\r\nFibre Channel (FC) SANs have the reputation of being expensive, complex and difficult to manage. Ethernet-based iSCSI has reduced these challenges by encapsulating SCSI commands into IP packets that don't require an FC connection.\r\nThe emergence of iSCSI means that instead of learning, building and managing two networks -- an Ethernet local area network (LAN) for user communication and an FC SAN for storage -- an organization can use its existing knowledge and infrastructure for both LANs and SANs. This is an especially useful approach in small and midsize businesses that may not have the funds or expertise to support a Fibre Channel SAN.\r\nOrganizations use SANs for distributed applications that need fast local network performance. SANs improve the availability of applications through multiple data paths. They can also improve application performance because they enable IT administrators to offload storage functions and segregate networks.\r\nAdditionally, SANs help increase the effectiveness and use of storage because they enable administrators to consolidate resources and deliver tiered storage. SANs also improve data protection and security. Finally, SANs can span multiple sites, which helps companies with their business continuity strategies.\r\n<span style=\"font-weight: bold;\">Types of network protocols</span>\r\nMost storage networks use the SCSI protocol for communication between servers and disk drive devices.[citation needed] A mapping layer to other protocols is used to form a network:\r\n<ul><li>ATA over Ethernet (AoE), mapping of ATA over Ethernet</li><li>Fibre Channel Protocol (FCP), the most prominent one, is a mapping of SCSI over Fibre Channel</li><li>Fibre Channel over Ethernet (FCoE)</li><li>ESCON over Fibre Channel (FICON), used by mainframe computers</li><li>HyperSCSI, mapping of SCSI over Ethernet</li><li>iFCP or SANoIP mapping of FCP over IP</li><li>iSCSI, mapping of SCSI over TCP/IP</li><li>iSCSI Extensions for RDMA (iSER), mapping of iSCSI over InfiniBand</li><li>Network block device, mapping device node requests on UNIX-like systems over stream sockets like TCP/IP</li><li>SCSI RDMA Protocol (SRP), another SCSI implementation for RDMA transports</li></ul>\r\nStorage networks may also be built using SAS and SATA technologies. SAS evolved from SCSI direct-attached storage. SATA evolved from IDE direct-attached storage. SAS and SATA devices can be networked using SAS Expanders.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_Networking.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1038,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png","logo":true,"scheme":false,"title":"NetApp Solution for Storage as a Service","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-solution-for-storage-as-a-service","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"NetApp’s Storage-as-a-Service is available as four service offerings with flexible and scalable capacity growth to suit most requirements:\r\n<ul><li>High Performance: NetApp’s all-flash arrays underpin this service. Ideal for database, analytics and virtualised , performance intensive and/or latency-sensitive high write applications.</li><li>Performance: Also delivered on NetApp’s all-flash arrays, this service is ideal for any applications that need the performance of all-flash technology, but don’t demand ultra-low latency response times</li><li>Value: Powered by NetApp’s enterprise storage arrays, this service is for high capacity applications such as email, web content, files shares, backup and replication.</li><li>Archive: Comprised of NetApp’s S3-compliant object storage, ideal for long term backup and archiving such as medical records and imagery.</li></ul>\r\nGovernment agencies have the flexibility to move from one storage tier to another, as well as increase or decrease their data consumption without incurring additional fees as part of their Storage-as-a-Service subscription. This ensures a predictable cost model that will enable them to manage their data requirements to help accommodate short-term projects, through to entire platform upgrades, or longer term data storage at any time.\r\n","shortDescription":"NetApp Storage-as-a-Service offering in the NSW Government’s GovDC Marketplace. The solution is a secure and flexible platform that is designed to help Government agencies store and manage the ever-increasing amount of data they are creating, storing and analysing in the delivery of improved service outcomes.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":6,"sellingCount":20,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp Solution for Storage as a Service","keywords":"NetApp’s, service, storage, all-flash, arrays, this, their, applications","description":"NetApp’s Storage-as-a-Service is available as four service offerings with flexible and scalable capacity growth to suit most requirements:\r\n<ul><li>High Performance: NetApp’s all-flash arrays underpin this service. Ideal for database, analytics and virtualised","og:title":"NetApp Solution for Storage as a Service","og:description":"NetApp’s Storage-as-a-Service is available as four service offerings with flexible and scalable capacity growth to suit most requirements:\r\n<ul><li>High Performance: NetApp’s all-flash arrays underpin this service. Ideal for database, analytics and virtualised","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png"},"eventUrl":"","translationId":1039,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":52,"title":"SaaS - software as a service","alias":"saas-software-as-a-service","description":"<span style=\"font-weight: bold;\">Software as a service (SaaS)</span> is a software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted. It is sometimes referred to as &quot;on-demand software&quot;, and was formerly referred to as &quot;software plus services&quot; by Microsoft.\r\n SaaS services is typically accessed by users using a thin client, e.g. via a web browser. SaaS software solutions has become a common delivery model for many business applications, including office software, messaging software, payroll processing software, DBMS software, management software, CAD software, development software, gamification, virtualization, accounting, collaboration, customer relationship management (CRM), Management Information Systems (MIS), enterprise resource planning (ERP), invoicing, human resource management (HRM), talent acquisition, learning management systems, content management (CM), Geographic Information Systems (GIS), and service desk management. SaaS has been incorporated into the strategy of nearly all leading enterprise software companies.\r\nSaaS applications are also known as <span style=\"font-weight: bold;\">Web-based software</span>, <span style=\"font-weight: bold;\">on-demand software</span> and<span style=\"font-weight: bold;\"> hosted software</span>.\r\nThe term &quot;Software as a Service&quot; (SaaS) is considered to be part of the nomenclature of cloud computing, along with Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS),managed software as a service (MSaaS), mobile backend as a service (MBaaS), and information technology management as a service (ITMaaS).\r\nBecause SaaS is based on cloud computing it saves organizations from installing and running applications on their own systems. That eliminates or at least reduces the associated costs of hardware purchases and maintenance and of software and support. The initial setup cost for a SaaS application is also generally lower than it for equivalent enterprise software purchased via a site license.\r\nSometimes, the use of SaaS cloud software can also reduce the long-term costs of software licensing, though that depends on the pricing model for the individual SaaS offering and the enterprise’s usage patterns. In fact, it’s possible for SaaS to cost more than traditional software licenses. This is an area IT organizations should explore carefully.<br />SaaS also provides enterprises the flexibility inherent with cloud services: they can subscribe to a SaaS offering as needed rather than having to buy software licenses and install the software on a variety of computers. The savings can be substantial in the case of applications that require new hardware purchases to support the software.<br /><br /><br /><br />","materialsDescription":"<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Who uses SaaS?</span></h1>\r\nIndustry analyst Forrester Research notes that SaaS adoption has so far been concentrated mostly in human resource management (HRM), customer relationship management (CRM), collaboration software (e.g., email), and procurement solutions, but is poised to widen. Today it’s possible to have a data warehouse in the cloud that you can access with business intelligence software running as a service and connect to your cloud-based ERP like NetSuite or Microsoft Dynamics.The dollar savings can run into the millions. And SaaS installations are often installed and working in a fraction of the time of on-premises deployments—some can be ready in hours. \r\nSales and marketing people are likely familiar with Salesforce.com, the leading SaaS CRM software, with millions of users across more than 100,000 customers. Sales is going SaaS too, with apps available to support sales in order management, compensation, quote production and configure, price, quoting, electronic signatures, contract management and more.\r\n<h1 class=\"align-center\"><span style=\"font-weight: normal;\">Why SaaS? Benefits of software as a service</span></h1>\r\n<ul><li><span style=\"font-weight: bold;\">Lower cost of entry</span>. With SaaS solution, you pay for what you need, without having to buy hardware to host your new applications. Instead of provisioning internal resources to install the software, the vendor provides APIs and performs much of the work to get their software working for you. The time to a working solution can drop from months in the traditional model to weeks, days or hours with the SaaS model. In some businesses, IT wants nothing to do with installing and running a sales app. In the case of funding software and its implementation, this can be a make-or-break issue for the sales and marketing budget, so the lower cost really makes the difference.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Reduced time to benefit/rapid prototyping</span>. In the SaaS model, the software application is already installed and configured. Users can provision the server for the cloud and quickly have the application ready for use. This cuts the time to benefit and allows for rapid demonstrations and prototyping. With many SaaS companies offering free trials, this means a painless proof of concept and discovery phase to prove the benefit to the organization. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Pay as you go</span>. SaaS business software gives you the benefit of predictable costs both for the subscription and to some extent, the administration. Even as you scale, you can have a clear idea of what your costs will be. This allows for much more accurate budgeting, especially as compared to the costs of internal IT to manage upgrades and address issues for an owned instance.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">The SaaS vendor is responsible for upgrades, uptime and security</span>. Under the SaaS model, since the software is hosted by the vendor, they take on the responsibility for maintaining the software and upgrading it, ensuring that it is reliable and meeting agreed-upon service level agreements, and keeping the application and its data secure.&nbsp; While some IT people worry about Software as a Service security outside of the enterprise walls, the likely truth is that the vendor has a much higher level of security than the enterprise itself would provide. Many will have redundant instances in very secure data centers in multiple geographies.&nbsp; Also, the data is being automatically backed up by the vendor, providing additional security and peace of mind. Because of the data center hosting, you’re getting the added benefit of at least some disaster recovery. Lastly, the vendor manages these issues as part of their core competencies—let them.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Integration and scalability.</span> Most SaaS apps are designed to support some amount of customization for the way you do business. SaaS vendors create APIs to allow connections not only to internal applications like ERPs or CRMs but also to other SaaS providers. One of the terrific aspects of integration is that orders written in the field can be automatically sent to the ERP. Now a salesperson in the field can check inventory through the catalog, write the order in front of the customer for approval, send it and receive confirmation, all in minutes. And as you scale with a SaaS vendor, there’s no need to invest in server capacity and software licenses. </li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Work anywhere</span>. Since the software is hosted in the cloud and accessible over the internet, users can access it via mobile devices wherever they are connected. This includes checking customer order histories prior to a sales call, as well as having access to real time data and real time order taking with the customer.</li></ul>\r\n<p class=\"align-left\">&nbsp;</p>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/SaaS__1_.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1046,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png","logo":true,"scheme":false,"title":"NetApp Converged Infrastructure Solution for Data Analytics","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-converged-infrastructure-solution-for-data-analytics","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"<span style=\"font-weight: bold;\">Key Benefits</span>\r\n<span style=\"font-weight: bold;\">Proven, affordable performance</span>\r\n• Increase search performance by up to an average of 118% compared to commodity servers with internal disks\r\n• Speed data analysis from weeks to hours and generate reports 3x faster\r\n• Leverage a hybrid architecture to optimize performance and capacity buckets for Splunk’s hot, warm, and cold data tiers\r\n<span style=\"font-weight: bold;\">Security and reliability with best-of-breed solution</span>\r\n• Get greater than 99.999% hardware availability backed by experience from more than 1 million deployments\r\n• Enable media erasure and full disk encryption\r\n• Improve reliability with a groundbreaking solution that leverages enterprise storage building blocks\r\n<span style=\"font-weight: bold;\">Simplified deployment and access to data</span>\r\n• Scale compute and storage independently to better match application workloads\r\n• Simplify deployment and accelerate time to value from months to weeks with a pretested NetApp\r\n<span style=\"font-weight: bold;\">Verified Architecture</span>\r\n• Easily install and administer your storage systems by using on-box, web-based, and powerful NetApp®\r\nThe NetApp Converged Infrastructure Solution for Splunk brings together the latest storage, networking, and server technologies in a pretested, prevalidated reference architecture to help you simplify deployment of Splunk environments. Accelerate your time to insight so you can drive rapid innovation and discover new ways to engage with your customers.\r\nComposed of Cisco UCS C-Series servers, Cisco Nexus switches, and NetApp E2800 hybrid storage systems, this groundbreaking infrastructure delivers superior performance for faster decision making and improved business agility. NetApp E-Series storage systems provide better performance, data availability, scalability, and data protection for Splunk workloads compared to commodity servers with internal drives.\r\nTogether, the solution’s prevalidated architecture and modular scalability make it easy to deploy and scale as you grow.\r\n<span style=\"font-weight: bold;\">Proven, Affordable Performance</span>\r\nPowered by the speed of NetApp E2800 hybrid flash storage systems, the NetApp Converged Infrastructure Solution for Splunk increases performance compared to commodity servers with internal storage, enabling you to search and analyze Splunk data in less than half the time.\r\nRecent testing that closely simulated real-world Splunk search performance showed conclusively that operations have much to gain from the NetApp storage approach.\r\nSearching was significantly faster with NetApp versus commodity servers with internal storage, on average up to 118% faster. Very dense searching was up to 35% faster, and rare search performance was up to 200% faster. NetApp installations have seen even faster search run times.&nbsp;\r\n","shortDescription":"NetApp Converged Infrastructure Solution for Data Analytics brings together the latest storage, networking, and server technologies in a pretested, prevalidated reference architecture to help simplify deployment of data analytics environments.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":4,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp Converged Infrastructure Solution for Data Analytics","keywords":"storage, NetApp, with, performance, faster, data, Splunk, servers","description":"<span style=\"font-weight: bold;\">Key Benefits</span>\r\n<span style=\"font-weight: bold;\">Proven, affordable performance</span>\r\n• Increase search performance by up to an average of 118% compared to commodity servers with internal disks\r\n• Speed data analysis fro","og:title":"NetApp Converged Infrastructure Solution for Data Analytics","og:description":"<span style=\"font-weight: bold;\">Key Benefits</span>\r\n<span style=\"font-weight: bold;\">Proven, affordable performance</span>\r\n• Increase search performance by up to an average of 118% compared to commodity servers with internal disks\r\n• Speed data analysis fro","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png"},"eventUrl":"","translationId":1047,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":509,"title":"Converged and Hyper Converged System","alias":"converged-and-hyper-converged-system","description":" Converged and hyper convergent infrastructures simplify support for virtual desktop infrastructure and desktop virtualization, as they are designed to be easy to install and perform complex tasks.\r\nConvergent infrastructure combines the four main components of a data center in one package: computing devices, storage devices, network devices, and server virtualization tools. Hyper-converged infrastructure allows for tighter integration of a larger number of components using software tools.\r\nIn both convergent and hyper-convergent infrastructure, all elements are compatible with each other. Thanks to this, you will be able to purchase the necessary storage devices and network devices for your company at a time, and they, as you know, are of great importance in the virtual desktops infrastructure. This allows you to simplify the process of deploying such an infrastructure - something that has been waiting for and what will be rejoiced by many companies that need to virtualize their desktop systems.\r\nDespite its value and innovation, there are several questions to these technologies regarding their intended use and differences. Let's try to figure out what functionality offers converged and hyper-convergent infrastructures and how they differ.","materialsDescription":" <span style=\"font-weight: bold;\">What is converged infrastructure?</span>\r\nConvergent infrastructure combines computing devices, storage, network devices and server virtualization tools in one chassis so that they can be managed from one place. Management capabilities may include the management of virtual desktop infrastructure, depending on the selected configuration and manufacturer.\r\nThe hardware included in the bundled converged infrastructure is pre-configured to support any targets: virtual desktop infrastructures, databases, special applications, and so on. But in fact, you do not have enough freedom to change the selected configuration.\r\nRegardless of the method chosen for extending the virtual desktop infrastructure environment, you should understand that subsequent vertical scaling will be costly and time-consuming. Adding individual components is becoming complex and depriving you of the many benefits of a converged infrastructure. Adding workstations and expanding storage capacity in a corporate infrastructure can be just as expensive, which suggests the need for proper planning for any virtual desktop infrastructure deployment.\r\nOn the other hand, all components of a converged infrastructure can work for a long time. For example, a complete server of such infrastructure works well even without the rest of the infrastructure components.\r\n<span style=\"font-weight: bold;\">What is a hyper-convergent infrastructure?</span>\r\nThe hyper-converged infrastructure was built on the basis of converged infrastructure and the concept of a software-defined data center. It combines all the components of the usual data center in one system. All four key components of the converged infrastructure are in place, but sometimes it also includes additional components, such as backup software, snapshot capabilities, data deduplication functionality, intermediate compression, global network optimization (WAN), and much more. Convergent infrastructure relies primarily on hardware, and software-defined data center often adapts to any hardware. In the hyper-convergent infrastructure, these two possibilities are combined.\r\nHyper-converged infrastructure is supported by one supplier. It can be managed as a single system with a single set of tools. To expand the infrastructure, you just need to install blocks of necessary devices and resources (for example, storage) into the main system block. And this is done literally on the fly.\r\nSince the hyper-convergent infrastructure is software-defined (that is, the operation of the infrastructure is logically separated from the physical equipment), the mutual integration of components is denser than in a conventional converged infrastructure, and the components themselves must be nearby to work correctly. This makes it possible to use a hyper-convergent infrastructure to support even more workloads than in the case of conventional converged infrastructure. This is explained by the fact that it has the possibility of changing the principle of definition and adjustment at the program level. In addition, you can make it work with specialized applications and workloads, which pre-configured converged infrastructures do not allow.\r\nHyper-converged infrastructure is especially valuable for working with a virtual desktop infrastructure because it allows you to scale up quickly without additional costs. Often, in the case of the classic virtual desktops infrastructure, things are completely different - companies need to buy more resources before scaling or wait for virtual desktops to use the allocated space and network resources, and then, in fact, add new infrastructure.\r\nBoth scenarios require significant time and money. But, in the case of hyperconvergent infrastructure, if you need to expand the storage, you can simply install the required devices in the existing stack. Scaling can be done quickly — for the time required to deliver the equipment. In this case, you do not have to go through the full procedure of re-evaluation and reconfiguration of the corporate infrastructure.\r\nIn addition, when moving from physical PCs to virtual workstations, you will need devices to perform all the computational tasks that laptops and PCs typically perform. Hyper-converged infrastructure will greatly help with this, as it often comes bundled with a large amount of flash memory, which has a positive effect on the performance of virtual desktops. This increases the speed of I / O operations, smoothes work under high loads, and allows you to perform scanning for viruses and other types of monitoring in the background (without distracting users).\r\nThe flexibility of the hyper-converged infrastructure makes it more scalable and cost-effective compared to the convergent infrastructure since it has the ability to add computing and storage devices as needed. The cost of the initial investment for both infrastructures is high, but in the long term, the value of the investment should pay off.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Converged_and_Hyper_Converged_System.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":5931,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png","logo":true,"scheme":false,"title":"NetApp StorageGRID","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-storagegrid","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"<p><span style=\"font-weight: bold;\">Object storage built for a hybrid, multi-cloud experience</span></p>\r\n<p><span style=\"font-weight: bold;\">StorageGRID</span> provides greater data management intelligence on a simplified platform for your object data. Because StorageGRID leverages S3, it painlessly bridges hybrid cloud workflows and enables your data to be fluid to meet your business demands. Gain the flexibility to deploy on purpose-built appliances, in containers, or where you see fit.</p>\r\n<p><span style=\"font-weight: bold;\">Tier to More Clouds with StorageGRID</span></p>\r\n<p>With Microsoft Azure Archive Blob Storage as a public cloud target, you have even more options for your hybrid cloud infrastructure. Choose where your data lives by defining your own data policies with StorageGRID, whether that is on-premises or in the public cloud for cost savings, locality, and more.</p>\r\n<p><span style=\"font-weight: bold;\">Solutions that Protect your Data at Scale</span></p>\r\n<p>Integrations with top data protection partners enable you to secure and simplify your backups, snapshots, tiered data, and more.</p>\r\n<p><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Commvault</span></span></p>\r\n<p>With Commvault Complete Backup and Recovery, easily protect your data, virtual machines and applications.</p>\r\n<p><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Rubrik</span></span></p>\r\n<p>Protect and simplify all aspects of data management with policy-based automation.</p>\r\n<p><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Veeam</span></span></p>\r\n<p>Protect and manage your backup data with StorageGRID as your Veeam Cloud Tier.</p>\r\n<p>&nbsp;</p>\r\n<p><span style=\"font-weight: bold;\">Models &amp; Specifications</span></p>\r\n<ul>\r\n<li>SGF6024</li>\r\n<li>SG6060</li>\r\n<li>SG5760</li>\r\n<li>SG5712</li>\r\n<li>SG1000</li>\r\n</ul>","shortDescription":"Open S3 object store to manage your unstructured data at scale.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":5,"sellingCount":11,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp StorageGRID","keywords":"","description":"<p><span style=\"font-weight: bold;\">Object storage built for a hybrid, multi-cloud experience</span></p>\r\n<p><span style=\"font-weight: bold;\">StorageGRID</span> provides greater data management intelligence on a simplified platform for your object data. Becaus","og:title":"NetApp StorageGRID","og:description":"<p><span style=\"font-weight: bold;\">Object storage built for a hybrid, multi-cloud experience</span></p>\r\n<p><span style=\"font-weight: bold;\">StorageGRID</span> provides greater data management intelligence on a simplified platform for your object data. Becaus","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png"},"eventUrl":"","translationId":5932,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[{"id":134,"title":"Object Storage"}],"testingArea":"","categories":[{"id":876,"title":"Object Storage","alias":"object-storage","description":"Object storage (also known as object-based storage) is a computer data storage architecture that manages data as objects, as opposed to other storage architectures like file systems which manages data as a file hierarchy, and block storage which manages data as blocks within sectors and tracks. Each object typically includes the data itself, a variable amount of metadata, and a globally unique identifier. Object storage can be implemented at multiple levels, including the device level (object-storage device), the system level, and the interface level. In each case, object storage seeks to enable capabilities not addressed by other storage architectures, like interfaces that can be directly programmable by the application, a namespace that can span multiple instances of physical hardware, and data-management functions like data replication and data distribution at object-level granularity.\r\nObject storage systems allow retention of massive amounts of unstructured data. Object storage is used for purposes such as storing photos on Facebook, songs on Spotify, or files in online collaboration services, such as Dropbox.\r\nObject storage is a method of data storage that emerged in the mid-1990s as researchers foresaw that existing storage methods would eventually start to show their limitations in certain scenarios. True to its name, object storage treats data as discrete units, or objects, that are accompanied by metadata and a universally unique identifier (UUID). This unstructured data resides in a flat (as opposed to tiered) address space called a storage pool. Object storage is also known for its compatibility with cloud computing, due to its unlimited scalability and faster data retrieval.\r\nToday, as data comes to underpin everything we do, the adoption of object storage systems has increased. It’s common in data centers and popular cloud-based platforms, such as Google cloud storage or Amazon cloud storage, and has become the de facto standard in several enterprise use cases.<br /><br />","materialsDescription":"<span style=\"font-weight: bold;\">What is Object Storage?</span>\r\nIn the modern world of cloud computing, object storage is the storage and retrieval of unstructured blobs of data and metadata using an HTTP API. Instead of breaking files down into blocks to store it on disk using a file system, we deal with whole objects stored over the network. These objects could be an image file, logs, HTML files, or any self-contained blob of bytes. They are unstructured because there is no specific schema or format they need to follow.<br />Object storage took off because it greatly simplified the developer experience. Because the API consists of standard HTTP requests, libraries were quickly developed for most programming languages. Saving a blob of data became as easy as an HTTP PUT request to the object store. Retrieving the file and metadata is a normal GET request. Further, most object storage services can also serve the files publicly to your users, removing the need to maintain a web server to host static assets.\r\nOn top of that, object storage services charge only for the storage space you use (some also charge per HTTP request, and for transfer bandwidth). This is a boon for small developers, who can get world-class storage and hosting of assets at costs that scale with use.\r\n<span style=\"font-weight: bold;\">What are the advantages of object storage?</span>\r\n<ul><li>A simple HTTP API, with clients available for all major operating systems and programming languages</li><li>A cost structure that means you only pay for what you use</li><li>Built-in public serving of static assets means one less server for you to run yourself</li><li>Some object stores offer built-in CDN integration, which caches your assets around the globe to make downloads and page loads faster for your users</li><li>Optional versioning means you can retrieve old versions of objects to recover from accidental overwrites of data</li><li>Object storage services can easily scale from modest needs to really intense use-cases without the developer having to launch more resources or rearchitect to handle the load</li><li>Using an object storage service means you don’t have to maintain hard drives and RAID arrays, as that’s handled by the service provider</li><li>Being able to store chunks of metadata alongside your data blob can further simplify your application architecture</li></ul>\r\n<span style=\"font-weight: bold;\">What are the disadvantages of object storage?</span>\r\n<ul><li>You can’t use object storage services to back a traditional database, due to the high latency of such services</li><li>Object storage doesn’t allow you to alter just a piece of a data blob, you must read and write an entire object at once. This has some performance implications. For instance, on a file system, you can easily append a single line to the end of a log file. On an object storage system, you’d need to retrieve the object, add the new line, and write the entire object back. This makes object storage less ideal for data that changes very frequently</li><li>Operating systems can’t easily mount an object store like a normal disk. There are some clients and adapters to help with this, but in general, using and browsing an object store is not as simple as flipping through directories in a file browser</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/jhghj.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":1690,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png","logo":true,"scheme":false,"title":"NetApp Ontap AI","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-ontap-ai","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI innovation and productivity.\r\n<span style=\"font-weight: 700; \"><br /></span>\r\n<span style=\"font-weight: 700; \">NVIDIA + NetApp</span>\r\nONTAP AI : Built on a verified architecture that combines NVIDIA DGX-1 supercomputers, NetApp AFF storage, and Cisco networking supercharges your AI/DL environments.\r\n<span style=\"font-weight: 700; \">Industry-leading NVIDIA DGX-1 AI supercomputers.</span>\r\nAt the heart of ONTAP AI is the NVIDIA DGX-1 supercomputer, a fully-integrated hardware and software turnkey system that is purpose-built for DL. The DGX platform leverages the NVIDIA GPU Cloud Deep Learning Software Stack, which is optimized for maximum GPU accelerated DL performance.\r\n<span style=\"font-weight: 700; \"><br /></span>\r\n<span style=\"font-weight: 700; \">The world’s fastest cloud-connected flash: NetApp AFF systems</span>\r\nNetApp AFF systems keep data flowing to DL processes with the industry’s fastest and most flexible all flash storage, featuring the world’s first end-to-end NVMe technologies. The A800 is capable of feeding data to NVIDIA DGX-1 systems up to 4 times faster than competing solutions","shortDescription":"NetApp's and Nvidia's NetApp Ontap AI combines NetApp’s hybrid cloud data services and AFF A800 cloud-connected all-flash storage with Nvidia’s GPU-powered DGX supercomputers.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":15,"sellingCount":4,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp Ontap AI","keywords":"","description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI inn","og:title":"NetApp Ontap AI","og:description":"<span style=\"font-weight: 700; \">Get started in AI faster</span>\r\nEliminate guesswork with a validated reference architecture that detangles design complexity. With NetApp ONTAP AI proven architecture, you’ll also reduce overall costs while accelerating AI inn","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetAppHzt.png"},"eventUrl":"","translationId":1691,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":69,"title":"Business Analytics","alias":"business-analytics","description":"Business Analytics is “the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques, and the communication of these results to customers, business partners, and college executives.” Business Analytics requires quantitative methods and evidence-based data for business modeling and decision making; as such, Business Analytics requires the use of Big Data.\r\nSAS describes Big Data as “a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis.” What’s important to keep in mind about Big Data is that the amount of data is not as important to an organization as the analytics that accompany it. When companies analyze Big Data, they are using Business Analytics to get the insights required for making better business decisions and strategic moves.\r\nCompanies use Business Analytics (BA) to make data-driven decisions. The insight gained by BA enables these companies to automate and optimize their business processes. In fact, data-driven companies that utilize Business Analytics achieve a competitive advantage because they are able to use the insights to:\r\n<ul><li>Conduct data mining (explore data to find new patterns and relationships)</li><li>Complete statistical analysis and quantitative analysis to explain why certain results occur</li><li>Test previous decisions using A/B testing and multivariate testing</li><li>Make use of predictive modeling and predictive analytics to forecast future results</li></ul>\r\nBusiness Analytics also provides support for companies in the process of making proactive tactical decisions, and BA makes it possible for those companies to automate decision making in order to support real-time responses.","materialsDescription":"<span style=\"font-weight: bold; \">What does Business Analytics (BA) mean?</span>\r\nBusiness analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.\r\nThe need for good business analytics has spurred the creation of business analytics software and enterprise platforms that mine an organization’s data in order to automate some of these measures and pick out meaningful insights.\r\nAlthough the term has become a bit of a buzzword, business analytics are a vital part of any business. Business analytics make up a large portion of decision support systems, continuous improvement programs and many of the other techniques used to keep a business competitive. Consequently, accurate business analytics like efficiency measures and capacity utilization rates are the first step to properly implementing these techniques.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Business_Analytics.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},{"id":164,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/NetApp_E-Series.jpg","logo":true,"scheme":false,"title":"NetApp E-Series","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":7,"alias":"netapp-e-series","companyTitle":"NetApp","companyTypes":["vendor"],"companyId":320,"companyAlias":"netapp","description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, replication, point-in-time recovery, and thin provisioning.\r\nI get a lot of questions about how E-Series fits in the NetApp portfolio, so I thought I'd start by answering those questions before digging into the specifics of products and use cases.\r\nWhere E-Series Fits\r\n\r\nIf you're not familiar with the E-Series design and speeds and feeds, Tech OnTap published an introductory article in March 2013, which is a good place to start.\r\nTwo major criteria differentiate E-Series from FAS:\r\nDedicated storage. FAS is designed as shared storage; lots of different workloads share the same storage system. E-Series is a better fit for applications that need dedicated storage such as SAN-based business apps, dedicated backup targets, and high-density storage repositories.\r\nData management. FAS integrates a wide range of data management, data protection, and storage efficiency features as part of the storage system. However, if you have an application that manages its own data, those capabilities might just sit idle, and E-Series is a great alternative.\r\nWhere FAS delivers incredible storage efficiency, E-Series is designed to deliver performance efficiency with excellent price/performance from entry to enterprise, maximum disk I/O for minimum cost, and sustained high bandwidth and IOPS.\r\nHere are a few additional things that you may want to know about E-Series storage. Many of these are based on misconceptions that come up frequently:\r\nDoes not run Data ONTAP®. E-Series systems run a separate operating environment called SANtricity® that is unrelated to Data ONTAP.\r\nBlock only. E-Series is simple, streamlined SAN storage designed to deliver superior price/performance. E-Series does not directly support any NAS protocols.\r\nDirect host connections. All E-Series models can support direct high-speed SAS connections to hosts. You can share a single storage system among a small number of servers without the complexity of a network or SAN.\r\nSSD capable. All E-Series models can support both SSD and HDD. You can use SSDs as persistent storage or as part of an SSD cache.\r\nHighly available. All E-Series configurations can be configured with dual controllers for high availability. In fact, E-Series delivers 99.999% availability, just like FAS. NetApp AutoSupport™ is available for the E-Series platform.\r\nNot just for HPC. E-Series cut its teeth in scientific and technical environments and remains a great fit for those applications. However, it's also becoming popular for a wide range of business and general use cases.\r\nPlays well with FAS. Increasingly, we're seeing use cases that combine the strengths of FAS and E-Series storage. Check out the other articles in this issue on the EF550 and Oracle OpenWorld highlights for examples.","shortDescription":"E-Series is a great choice for situations where you need dedicated storage—especially where data management functions are handled by the application.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":13,"sellingCount":17,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"NetApp E-Series","keywords":"E-Series, storage, that, with, designed, just, those, cases","description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, repli","og:title":"NetApp E-Series","og:description":"Figure 1) E-Series product line.\r\nE-Series is designed to make SANs simple, with dynamic disk pools to eliminate RAID management; robust I/O queuing algorithms optimized for SSDs; proven high availability; and out-of-the-box features including mirroring, repli","og:image":"https://old.roi4cio.com/fileadmin/user_upload/NetApp_E-Series.jpg"},"eventUrl":"","translationId":165,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"},{"id":507,"title":"Mission Critical Storage","alias":"mission-critical-storage","description":" As enterprises become more digital, the role of mission-critical applications on which the functioning of the business depends. In practice, this requires more platform flexibility to serve both traditional applications and modern cloud computing.\r\nIT professionals who are already fully loaded with support for traditional corporate tools, such as virtualization or database management systems, have to implement and maintain modern applications such as containers or analytics.\r\nServer virtualization has almost become the main driver for the development of storage virtualization, especially since virtual machines have already penetrated quite a lot into the critical applications segment.\r\nData storage systems help to cope with the ever-growing volumes of data, allowing you to effectively work with information. Storage systems for mission-critical applications are focused on the needs of companies of various sizes - from remote branches to large enterprises with significant amounts of information.\r\nAlso many factors affect the selection of a data center location, but utility infrastructure, uptime, talent, and speed are always the focal points.\r\nFew people are unaware of the large electric loads (usage) of data centers. Naturally, due to the amount of power they need, data centers are very price-sensitive to a location’s cost of electricity. The cost is more than centers per kWh, though. Data centers have unique ramp-up needs and reserved capacity demands. The utility’s ability to accommodate these requirements can have a significant impact on cost. Likewise, the mission-critical aspect of the data center, requiring it to be online at all times, drives rigorous power redundancy and reliability requirements. The utility’s “cost-to-serve” and revenue credit policies must be factored into the overall cost of providing the requisite power.","materialsDescription":" <span style=\"font-weight: bold;\">What is mission-critical data?</span>\r\nA 'mission-critical' operation, system or facility may sound fairly straightforward – something that is essential to the overall operations of a business or process within a business. Essentially, something that is critical to the mission.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Mission_Critical_Storage.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"suppliedProducts":[],"partnershipProgramme":{"levels":[{"id":154,"level":"OEM Partner"},{"id":155,"level":"Corporate Reseller"},{"id":156,"level":"System Integrator"},{"id":157,"level":"Service Provider"},{"id":158,"level":"Distributor"}],"partnerDiscounts":{"OEM Partner":"","Corporate Reseller":"","System Integrator":"","Service Provider":"","Distributor":""},"registeredDiscounts":{"OEM Partner":"","Corporate Reseller":"","System Integrator":"","Service Provider":"","Distributor":""},"additionalBenefits":[],"salesPlan":{"OEM Partner":"","Corporate Reseller":"","System Integrator":"","Service Provider":"","Distributor":""},"additionalRequirements":[]}}},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"implementations":{"implementationsByAlias":{},"aliases":{},"links":{},"meta":{},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}