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No need for infrastructure provisioning, and no need for installing and maintaining database software.\r\n<span style=\"font-weight: bold;\">Highly Scalable</span>\r\nYou can scale your database's compute and storage resources with only a few mouse clicks or an API call, often with no downtime. Many Amazon RDS engine types allow you to launch one or more Read Replicas to offload read traffic from your primary database instance.\r\n<span style=\"font-weight: bold;\">Available and Durable</span>\r\nAmazon RDS runs on the same highly reliable infrastructure used by other Amazon Web Services. When you provision a Multi-AZ DB Instance, Amazon RDS synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Amazon RDS has many other features that enhance reliability for critical production databases, including automated backups, database snapshots, and automatic host replacement.\r\n<span style=\"font-weight: bold;\">Fast</span>\r\nAmazon RDS supports the most demanding database applications. You can choose between two SSD-backed storage options: one optimized for high-performance OLTP applications, and the other for cost-effective general-purpose use. In addition, Amazon Aurora provides performance on par with commercial databases at 1/10th the cost.\r\n<span style=\"font-weight: bold;\">Secure</span>\r\nAmazon RDS makes it easy to control network access to your database. Amazon RDS also lets you run your database instances in Amazon Virtual Private Cloud (Amazon VPC), which enables you to isolate your database instances and to connect to your existing IT infrastructure through an industry-standard encrypted IPsec VPN. Many Amazon RDS engine types offer encryption at rest and encryption in transit.\r\n<span style=\"font-weight: bold;\">Inexpensive</span>\r\nYou pay very low rates and only for the resources you actually consume. In addition, you benefit from the option of On-Demand pricing with no up-front or long-term commitments, or even lower hourly rates via our Reserved Instance pricing.","shortDescription":"Amazon Relational Database Service (RDS) is a managed relational database service with a choice of six popular database engines. Set up, operate, and scale a relational database in the cloud with just a few clicks.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":0,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Amazon Relational Database Service (RDS)","keywords":"Amazon, database, your, with, from, instance, types, infrastructure","description":"Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning","og:title":"Amazon Relational Database Service (RDS)","og:description":"Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning","og:image":"https://old.roi4cio.com/fileadmin/user_upload/aws_rds.png"},"eventUrl":"","translationId":1242,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":239,"title":"Relational Database Management Systems","alias":"relational-database-management-systems","description":" Relational Database Management System (RDBMS) is a DBMS designed specifically for relational databases. Therefore, RDBMSes are a subset of DBMSes.\r\nA relational database refers to a database that stores data in a structured format, using rows and columns. This makes it easy to locate and access specific values within the database. It is &quot;relational&quot; because the values within each table are related to each other. Tables may also be related to other tables. The relational structure makes it possible to run queries across multiple tables at once.\r\nWhile a relational database describes the type of database an RDMBS manages, the RDBMS refers to the database program itself. It is the software that executes queries on the data, including adding, updating, and searching for values.\r\nAn RDBMS may also provide a visual representation of the data. For example, it may display data in a tables like a spreadsheet, allowing you to view and even edit individual values in the table. Some relational database softwareallow you to create forms that can streamline entering, editing, and deleting data.\r\nMost well known DBMS applications fall into the RDBMS category. Examples include Oracle Database, MySQL, Microsoft SQL Server, and IBM DB2. Some of these programs support non-relational databases, but they are primarily used for relational database management.\r\nExamples of non-relational databases include Apache HBase, IBM Domino, and Oracle NoSQL Database. These type of databases are managed by other DMBS programs that support NoSQL, which do not fall into the RDBMS category.\r\nElements of the relational DBMS that overarch the basic relational database are so intrinsic to operations that it is hard to dissociate the two in practice.\r\nThe most basic features of RDBMS are related to create, read, update and delete operations, collectively known as CRUD. They form the foundation of a well-organized system that promotes consistent treatment of data.\r\nThe RDBMS typically provides data dictionaries and metadata collections useful in data handling. These programmatically support well-defined data structures and relationships. Data storage management is a common capability of the RDBMS, and this has come to be defined by data objects that range from binary large object (blob) strings to stored procedures. Data objects like this extend the scope of basic relational database operations and can be handled in a variety of ways in different RDBMSes.\r\nThe most common means of data access for the RDBMS is via SQL. Its main language components comprise data manipulation language (DML) and data definition language (DDL) statements. Extensions are available for development efforts that pair SQL use with common programming languages, such as COBOL (Common Business-Oriented Language), Java and .NET.\r\nRDBMSes use complex algorithms that support multiple concurrent user access to the database, while maintaining data integrity. Security management, which enforces policy-based access, is yet another overlay service that the RDBMS provides for the basic database as it is used in enterprise settings.\r\nRDBMSes support the work of database administrators (DBAs) who must manage and monitor database activity. Utilities help automate data loading and database backup. RDBMS systems manage log files that track system performance based on selected operational parameters. This enables measurement of database usage, capacity and performance, particularly query performance. RDBMSes provide graphical interfaces that help DBAs visualize database activity.\r\nRelational database management systems are central to key applications, such as banking ledgers, travel reservation systems and online retailing. As RDBMSes have matured, they have achieved increasingly higher levels of query optimization, and they have become key parts of reporting, analytics and data warehousing applications for businesses as well. \r\nRDBMSes are intrinsic to operations of a variety of enterprise applications and are at the center of most master data management (MDM) systems.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What are the advantages of a Relational Database Management System?</span></h1>\r\nA Relational Database Management System (RDBMS) is a software system that provides access to a relational database. The software system is a collection of software applications that can be used to create, maintain, manage and use the database. A &quot;relational database&quot; is a database structured on the &quot;relational&quot; model. Data are stored and presented in a tabular format, organized in rows and columns with one record per row.\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Data Structure.</span> The table format is simple and easy for database users to understand and use. Relational database management software provide data access using a natural structure and organization of the data. Database queries can search any column for matching entries.</li></ul>\r\n<dl></dl>\r\n<ul><li><span style=\"font-weight: bold;\">Multi-User Access.</span> RDBMS database program allow multiple database users to access a database simultaneously. Built-in locking and transactions management functionality allow users to access data as it is being changed, prevents collisions between two users updating the data, and keeps users from accessing partially updated records.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Privileges. </span>Authorization and privilege control features in an RDBMS allow the database administrator to restrict access to authorized users, and grant privileges to individual users based on the types of database tasks they need to perform. Authorization can be defined based on the remote client IP address in combination with user authorization, restricting access to specific external computer systems.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Network Access.</span> RDBMSs provide access to the database through a server daemon, a specialized software program that listens for requests on a network, and allows database clients to connect to and use the database. Users do not need to be able to log in to the physical computer system to use the database, providing convenience for the users and a layer of security for the database. Network access allows developers to build desktop tools and Web applications to interact with databases.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Speed.</span> The relational database model is not the fastest data structure. RDBMS software advantages, such as simplicity, make the slower speed a fair trade-off. Optimizations built into an RDBMS, and the design of the databases, enhance performance, allowing RDBMSs to perform more than fast enough for most applications and data sets. Improvements in technology, increasing processor speeds and decreasing memory and storage costs allow systems administrators to build incredibly fast systems that can overcome any database performance shortcomings.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Maintenance. </span>RDBMSs feature maintenance utilities that provide database administrators with tools to easily maintain, test, repair and back up the databases housed in the system. Many of the functions can be automated using built-in automation in the RDBMS, or automation tools available on the operating system.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Language.</span> RDBMSs support a generic language called &quot;Structured Query Language&quot; (SQL). The SQL syntax is simple, and the language uses standard English language keywords and phrasing, making it fairly intuitive and easy to learn. Many RDBMSs add non-SQL, database-specific keywords, functions and features to the SQL language.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Relational_Database_Management_Systems.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"delphix-data-virtualization":{"id":397,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Delphix.png","logo":true,"scheme":false,"title":"Delphix Data Virtualization","vendorVerified":0,"rating":"1.80","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":0,"alias":"delphix-data-virtualization","companyTitle":"Delphix","companyTypes":["vendor"],"companyId":2840,"companyAlias":"delphix","description":"Streamline data delivery\r\nCreating physical copies is highly manual, usually involves multiple administrators, and may take days or weeks. Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant copies of data\r\nApplication projects generate concurrent demands for data — up to 90% of which is the same data. The Delphix Virtualization Engine stores a single, compressed copy of production data and creates virtual copies that represent the full production source, but occupy a fraction of the space of physical copies.\r\nCut storage costs and prevent data loss\r\nThe Delphix Virtualization Engine captures all incremental changes at the transaction level, essentially creating a time machine for your data. By intelligently storing only unique changes, Delphix dramatically reduces the intake of data. Administrators can retain a large amount of data in a small amount of space and quickly provision data as of any point in time. Delphix also keeps track of all changes made to virtual copies, giving end users the ability to version their data like code.\r\nEmpower end users with self-service\r\nUnlike legacy solutions, the Delphix Virtualization Engine equips your teams with innovative, self-service control features — like the ability to quickly bookmark, reset, synchronize, and branch virtual datasets — all managed through a single, easy-to-use interface. Delphix also has a fully-exposed web REST API, enabling ready integration with existing DevOps tools and workflows.\r\n","shortDescription":"The Delphix Virtualization Engine is enterprise software that radically improves the delivery of data in databases, application files, and file systems on-premise or in the cloud. By simply and easily delivering the right data to the right team at the right time, Delphix helps companies release applications 25-50% faster.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":15,"sellingCount":10,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Delphix Data Virtualization","keywords":"data, Delphix, copies, Virtualization, virtual, with, changes, Engine","description":"Streamline data delivery\r\nCreating physical copies is highly manual, usually involves multiple administrators, and may take days or weeks. Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant cop","og:title":"Delphix Data Virtualization","og:description":"Streamline data delivery\r\nCreating physical copies is highly manual, usually involves multiple administrators, and may take days or weeks. Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant cop","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Delphix.png"},"eventUrl":"","translationId":398,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":245,"title":"Data Integration and Access Software","alias":"data-integration-and-access-software","description":" Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.\r\nData integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.\r\nThere is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.\r\nIn a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.","materialsDescription":" <span style=\"font-weight: bold;\">Integration helps businesses succeed</span>\r\nEven if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.\r\nLet’s take a look at a typical analytical use case. Without unified data, a single report typically involves logging into multiple accounts, on multiple sites, accessing data within native apps, copying over the data, reformatting, and cleansing, all before analysis can happen.\r\nConducting all these operations as efficiently as possible highlights the importance of data integration. It also showcases the major benefits of a well thought-out approach to data integration:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Improves collaboration and unification of systems</span></span>\r\nEmployees in every department — and sometimes in disparate physical locations — increasingly need access to the company's data for shared and individual projects. IT needs a secure solution for delivering data via self-service access across all lines of business.\r\nAdditionally, employees in almost every department are generating and improving data that the rest of the business needs. Data integration needs to be collaborative and unified in order to improve collaboration and unification across the organization.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Saves time and boosts efficiency</span></span>\r\nWhen a company takes measures to integrate its data properly, it cuts down significantly on the time it takes to prepare and analyze that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application.\r\nAdditionally, using the right tools, rather than hand-coding the integration, returns even more time (and resources overall) to the dev team.\r\nAll the time saved on these tasks can be put to other, better uses, with more hours earmarked for analysis and execution to make an organization more productive and competitive.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduces errors (and rework)</span></span>\r\nThere’s a lot to keep up with when it comes to a company’s data resources. To manually gather data, employees must know every location and account that they might need to explore — and have all necessary software installed before they begin — to ensure their data sets will be complete and accurate. If a data repository is added, and that employee is unaware, they will have an incomplete data set.\r\nAdditionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes. With automated updates, however, reports can be run easily in real time, whenever they’re needed.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Delivers more valuable data</span></span>\r\nData integration efforts actually improve the value of a business’ data over time. As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Data_Integration_and_Access_Software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"ibm-watson-explorer":{"id":981,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/IBM_Watson_Explorer.png","logo":true,"scheme":false,"title":"IBM Watson Explorer","vendorVerified":0,"rating":"2.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":100,"alias":"ibm-watson-explorer","companyTitle":"IBM","companyTypes":["supplier","vendor"],"companyId":177,"companyAlias":"ibm","description":"Watson Explorer is a cognitive search and content analysis platform that gives you access to insights from all the data you care about, so you can drive business performance and growth. Search and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in machine learning, natural language processing and next-gen APIs to unlock hidden value in ALL your data. Gain a secure 360-degree view of customers, in context, to deliver superior experiences.\r\n<span style=\"font-weight: bold;\">Improve customer engagement</span>\r\nWestPac Bank in New Zealand used Watson Explorer to increase customer interactions from 40% to 92%, transforming the way the bank engages with its customers.\r\n<span style=\"font-weight: bold;\">Achieve increased savings</span>\r\nIn call centers, unified data access reduces average call handling times (AHT) — and an average of one second shaved off per call could result in $1 million in annual savings.\r\n<span style=\"font-weight: bold;\">Reduce response times</span>\r\nFor an international insurance company that processes millions of claims a year, a complex claim that took 2 days to process can now be completed in just 10 minutes.\r\n<span style=\"font-weight: bold;\">Feature spotlights</span>\r\n<span style=\"font-weight: bold;\">Powerful indexing and search</span>\r\nEmpower employees and customers by delivering the right information at the right time. Perform real-time search on structured and unstructured data, across many sources, to turn data into knowledge.\r\n<span style=\"font-weight: bold;\">Advanced content analysis</span>\r\nAggregate, analyze and visualize large volumes of unstructured and structured data to extract meaning, reveal hidden insights and patterns, and enable better decision-making.\r\n<span style=\"font-weight: bold;\">Cognitive capabilities</span>\r\nGet more than just big data insights with cognitive capabilities, like natural language processing, machine learning, AI and next-gen APIs.\r\n<span style=\"font-weight: bold;\">Application builder</span>\r\nCreate unified information applications that bring data, analytics and cognitive insights together in one place, tailored to users’ roles, to improve employee performance and customer engagement.\r\n<span style=\"font-weight: bold;\">Reliable scale and speed</span>\r\nAutomatic index rebalancing across clusters and the ability to push data for indexing remove barriers of scale, support redundancy and reliability, and enable cloud-ready cognitive solutions.\r\n<span style=\"font-weight: bold;\">Connect all available data</span>\r\nSecurely access on-premise, cloud-based, external and internal applications and data management systems, and extract data for indexing, analysis and interpretation, to discover new trends and insights.\r\n<span style=\"font-weight: bold;\">Hybrid cloud architecture</span>\r\nKeep data where you want it -- on-premises or in the cloud to make your business flexible and future-proof.\r\n","shortDescription":"IBM Watson Explorer - Combine the power of cloud-based enterprise search, content analysis and cognitive solutions to connect and view data insights across silos for better outcomes","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":19,"sellingCount":1,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"IBM Watson Explorer","keywords":"data, that, insights, customer, cognitive, Watson, unstructured, customers","description":"Watson Explorer is a cognitive search and content analysis platform that gives you access to insights from all the data you care about, so you can drive business performance and growth. Search and analyze structured, unstructured, internal, external and public","og:title":"IBM Watson Explorer","og:description":"Watson Explorer is a cognitive search and content analysis platform that gives you access to insights from all the data you care about, so you can drive business performance and growth. Search and analyze structured, unstructured, internal, external and public","og:image":"https://old.roi4cio.com/fileadmin/user_upload/IBM_Watson_Explorer.png"},"eventUrl":"","translationId":982,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"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"},{"id":237,"title":"Structured Data Management Software","alias":"structured-data-management-software","description":" Databases that have been in service for a long time, accumulate large amounts of data. A significant part of this data remains inactive which can be efficiently stored in a less expensive location outside the active database. Also, the accumulation of such old records in the active database slows the performance of the database, in turn leading to the need for additional, expensive hardware tools.\r\nTherefore, in order to avoid such complexities and ensuring smooth system performance, enterprises are utilizing structured data management software solutions. This enables the user to balance the need for long-term records retention along with optimal database performance.\r\nThe market growth of structured data management software solutions is driven by various factors such as increasing data volumes that adversely affect database performance, need to retain and manage large volumes of historical data in an effective manner, and effectively address regulatory compliance demands to avoid financial penalties.\r\nAdditionally, the structured data management software market is propelled by the several advantages offered by these solutions. Some of these advantages include immediate and indistinguishable access to the archive data that enables critical data to survive longer than the originating applications or databases and accelerates application retirement processes to shorten time to cost savings.\r\nHowever, the growth of the market is confronted by challenges such as concerns related to security and data privacy, and frequent cyber-attacks on enterprises, which has decreased the demand for database products to some extent.","materialsDescription":" <span style=\"font-weight: bold;\">What is Structured Data?</span>\r\nStructured data usually resides in relational databases (RDBMS). Fields store length-delineated data phone numbers, Social Security numbers, or ZIP codes. Even text strings of variable length like names are contained in records, making it a simple matter to search. Data may be human- or machine-generated as long as the data is created within an RDBMS structure. This format is eminently searchable both with human-generated queries and via algorithms using a type of data and field names, such as alphabetical or numeric, currency or date.\r\nCommon relational database applications with structured data include airline reservation systems, inventory control, sales transactions, and ATM activity. Structured Query Language (SQL) enables queries on this type of structured data within relational databases.\r\nSome relational databases do store or point to unstructured data such as customer relationship management (CRM) applications. The integration can be awkward at best since memo fields do not loan themselves to traditional database queries. Still, most of the CRM data is structured.\r\n<span style=\"font-weight: bold;\">What is the Unstructured Data?</span>\r\nUnstructured data is essentially everything else. Unstructured data has internal structure but is not structured via pre-defined data models or schema. It may be textual or non-textual, and human- or machine-generated. It may also be stored within a non-relational database like NoSQL.\r\nTypical human-generated unstructured data includes:\r\n<ul><li><span style=\"font-weight: bold;\">Text files:</span> Word processing, spreadsheets, presentations, email, logs.</li><li><span style=\"font-weight: bold;\">Email:</span> Email has some internal structure thanks to its metadata, and we sometimes refer to it as semi-structured. However, its message field is unstructured and traditional analytics tools cannot parse it.</li><li><span style=\"font-weight: bold;\">Social Media:</span> Data from Facebook, Twitter, LinkedIn.</li><li><span style=\"font-weight: bold;\">Website:</span> YouTube, Instagram, photo sharing sites.</li><li><span style=\"font-weight: bold;\">Mobile data:</span> Text messages, locations.</li><li><span style=\"font-weight: bold;\">Communications:</span> Chat, IM, phone recordings, collaboration software.</li><li><span style=\"font-weight: bold;\">Media:</span> MP3, digital photos, audio and video files.</li><li><span style=\"font-weight: bold;\">Business applications:</span> MS Office documents, productivity applications.</li></ul>\r\nTypical machine-generated unstructured data includes:\r\n<ul><li><span style=\"font-weight: bold;\">Satellite imagery:</span> Weather data, landforms, military movements.</li><li><span style=\"font-weight: bold;\">Scientific data:</span> Oil and gas exploration, space exploration, seismic imagery, atmospheric data.</li><li><span style=\"font-weight: bold;\">Digital surveillance:</span> Surveillance photos and video.</li><li><span style=\"font-weight: bold;\">Sensor data:</span> Traffic, weather, oceanographic sensors.</li></ul>\r\n<span style=\"font-weight: bold;\">Structured vs. Unstructured Data: What’s the Difference?</span>\r\nBesides the obvious difference between storing in a relational database and storing outside of one, the biggest difference is the ease of analyzing structured data vs. unstructured data. Mature analytics tools exist for structured data, but analytics tools for mining unstructured data are nascent and developing.\r\nUsers can run simple content searches across textual unstructured data. But its lack of orderly internal structure defeats the purpose of traditional data mining tools, and the enterprise gets little value from potentially valuable data sources like rich media, network or weblogs, customer interactions, and social media data. Even though unstructured data analytics tools are in the marketplace, no one vendor or toolset are clear winners. And many customers are reluctant to invest in analytics tools with uncertain development roadmaps. \r\nOn top of this, there is simply much more unstructured data than structured. Unstructured data makes up 80% and more of enterprise data, and is growing at the rate of 55% and 65% per year.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Structured_Data_Management_Software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"microsoft-sql-server":{"id":634,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Microsoft_SQL_Server.png","logo":true,"scheme":false,"title":"Microsoft SQL Server","vendorVerified":0,"rating":"2.00","implementationsCount":4,"suppliersCount":0,"supplierPartnersCount":272,"alias":"microsoft-sql-server","companyTitle":"Microsoft","companyTypes":["vendor"],"companyId":163,"companyAlias":"microsoft","description":"As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).\r\nMicrosoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.","shortDescription":"Microsoft SQL Server is a relational database management system developed by Microsoft.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":4,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Microsoft SQL Server","keywords":"Microsoft, computer, applications, different, with, Server, software, editions","description":"As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).\r\nMic","og:title":"Microsoft SQL Server","og:description":"As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).\r\nMic","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Microsoft_SQL_Server.png"},"eventUrl":"","translationId":635,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":239,"title":"Relational Database Management Systems","alias":"relational-database-management-systems","description":" Relational Database Management System (RDBMS) is a DBMS designed specifically for relational databases. Therefore, RDBMSes are a subset of DBMSes.\r\nA relational database refers to a database that stores data in a structured format, using rows and columns. This makes it easy to locate and access specific values within the database. It is &quot;relational&quot; because the values within each table are related to each other. Tables may also be related to other tables. The relational structure makes it possible to run queries across multiple tables at once.\r\nWhile a relational database describes the type of database an RDMBS manages, the RDBMS refers to the database program itself. It is the software that executes queries on the data, including adding, updating, and searching for values.\r\nAn RDBMS may also provide a visual representation of the data. For example, it may display data in a tables like a spreadsheet, allowing you to view and even edit individual values in the table. Some relational database softwareallow you to create forms that can streamline entering, editing, and deleting data.\r\nMost well known DBMS applications fall into the RDBMS category. Examples include Oracle Database, MySQL, Microsoft SQL Server, and IBM DB2. Some of these programs support non-relational databases, but they are primarily used for relational database management.\r\nExamples of non-relational databases include Apache HBase, IBM Domino, and Oracle NoSQL Database. These type of databases are managed by other DMBS programs that support NoSQL, which do not fall into the RDBMS category.\r\nElements of the relational DBMS that overarch the basic relational database are so intrinsic to operations that it is hard to dissociate the two in practice.\r\nThe most basic features of RDBMS are related to create, read, update and delete operations, collectively known as CRUD. They form the foundation of a well-organized system that promotes consistent treatment of data.\r\nThe RDBMS typically provides data dictionaries and metadata collections useful in data handling. These programmatically support well-defined data structures and relationships. Data storage management is a common capability of the RDBMS, and this has come to be defined by data objects that range from binary large object (blob) strings to stored procedures. Data objects like this extend the scope of basic relational database operations and can be handled in a variety of ways in different RDBMSes.\r\nThe most common means of data access for the RDBMS is via SQL. Its main language components comprise data manipulation language (DML) and data definition language (DDL) statements. Extensions are available for development efforts that pair SQL use with common programming languages, such as COBOL (Common Business-Oriented Language), Java and .NET.\r\nRDBMSes use complex algorithms that support multiple concurrent user access to the database, while maintaining data integrity. Security management, which enforces policy-based access, is yet another overlay service that the RDBMS provides for the basic database as it is used in enterprise settings.\r\nRDBMSes support the work of database administrators (DBAs) who must manage and monitor database activity. Utilities help automate data loading and database backup. RDBMS systems manage log files that track system performance based on selected operational parameters. This enables measurement of database usage, capacity and performance, particularly query performance. RDBMSes provide graphical interfaces that help DBAs visualize database activity.\r\nRelational database management systems are central to key applications, such as banking ledgers, travel reservation systems and online retailing. As RDBMSes have matured, they have achieved increasingly higher levels of query optimization, and they have become key parts of reporting, analytics and data warehousing applications for businesses as well. \r\nRDBMSes are intrinsic to operations of a variety of enterprise applications and are at the center of most master data management (MDM) systems.<br /><br />","materialsDescription":"<h1 class=\"align-center\"> <span style=\"font-weight: normal;\">What are the advantages of a Relational Database Management System?</span></h1>\r\nA Relational Database Management System (RDBMS) is a software system that provides access to a relational database. The software system is a collection of software applications that can be used to create, maintain, manage and use the database. A &quot;relational database&quot; is a database structured on the &quot;relational&quot; model. Data are stored and presented in a tabular format, organized in rows and columns with one record per row.\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Data Structure.</span> The table format is simple and easy for database users to understand and use. Relational database management software provide data access using a natural structure and organization of the data. Database queries can search any column for matching entries.</li></ul>\r\n<dl></dl>\r\n<ul><li><span style=\"font-weight: bold;\">Multi-User Access.</span> RDBMS database program allow multiple database users to access a database simultaneously. Built-in locking and transactions management functionality allow users to access data as it is being changed, prevents collisions between two users updating the data, and keeps users from accessing partially updated records.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Privileges. </span>Authorization and privilege control features in an RDBMS allow the database administrator to restrict access to authorized users, and grant privileges to individual users based on the types of database tasks they need to perform. Authorization can be defined based on the remote client IP address in combination with user authorization, restricting access to specific external computer systems.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Network Access.</span> RDBMSs provide access to the database through a server daemon, a specialized software program that listens for requests on a network, and allows database clients to connect to and use the database. Users do not need to be able to log in to the physical computer system to use the database, providing convenience for the users and a layer of security for the database. Network access allows developers to build desktop tools and Web applications to interact with databases.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Speed.</span> The relational database model is not the fastest data structure. RDBMS software advantages, such as simplicity, make the slower speed a fair trade-off. Optimizations built into an RDBMS, and the design of the databases, enhance performance, allowing RDBMSs to perform more than fast enough for most applications and data sets. Improvements in technology, increasing processor speeds and decreasing memory and storage costs allow systems administrators to build incredibly fast systems that can overcome any database performance shortcomings.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Maintenance. </span>RDBMSs feature maintenance utilities that provide database administrators with tools to easily maintain, test, repair and back up the databases housed in the system. Many of the functions can be automated using built-in automation in the RDBMS, or automation tools available on the operating system.</li></ul>\r\n\r\n<ul><li><span style=\"font-weight: bold;\">Language.</span> RDBMSs support a generic language called &quot;Structured Query Language&quot; (SQL). The SQL syntax is simple, and the language uses standard English language keywords and phrasing, making it fairly intuitive and easy to learn. Many RDBMSs add non-SQL, database-specific keywords, functions and features to the SQL language.</li></ul>\r\n\r\n","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Relational_Database_Management_Systems.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"oracle-database-cloud-service":{"id":1532,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Database_Cloud_Service.png","logo":true,"scheme":false,"title":"Oracle Database Cloud Service","vendorVerified":0,"rating":"2.40","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-database-cloud-service","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"<ul><li>Fast.&nbsp;Oracle Database in highly available and scalable configurations rapidly provisioned and ready for use in minutes.</li><li>Simple.&nbsp;Oracle Database with administration fully managed by Oracle or under your control with one-click built in automation. Supports modern agile development with RESTful APIs for quick, automated and repeatable use.</li><li>Elastic.&nbsp;Add capacity on-demand and scale OLTP and Data Warehouse workloads as your business grows from startup to the largest enterprise.</li><li>Choice.&nbsp;Shared, dedicated, virtualized, bare metal (coming soon) and engineered deployment targets to optimize cost in a pay per need model.</li><li>Secure.&nbsp;Security on Oracle Cloud protects the entire lifecycle of data both in transit and at rest. Database access is monitored and recorded for audit and control at all times.</li></ul>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold; \">Database Cloud Services</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Oracle Cloud provides several Oracle Cloud Service deployment choices. These choices allow you to start at the cost and capability level suitable to your use case and then gives you the flexibility to adapt as your requirements change over time. Choices include: single schemas, dedicated pluggable databases, virtualized databases, bare metal databases and databases running on world class engineered infrastructure.</span>\r\nOracle offers general purpose and high memory compute shapes to provide the full power of the Oracle Database in the cloud for any type of application. You can use all standard network connections and have administrative control.\r\n<span style=\"font-weight: bold;\">Database</span>\r\n<ul><li>Database version. Dedicated database instances with Oracle Database 11g, 12.1 and 12.2, with your choice of Standard, Enterprise, High Performance, or Extreme Performance packaging.</li><li>Service Packaging. Standard and Enterprise packages include their respective on-premises capabilities and add Transparent Data Encryption. High Performance adds all database options excluding: RAC, In-Memory and Active Data Guard. Extreme Performance includes all options.</li><li>Database Containerization. Oracle Database 12c includes the Oracle Multitenant option for managing Pluggable Databases.</li><li>DevOps. Test Master creation with sensitive data masking. Clone creation and life cycle management for agile development.</li></ul>\r\n<span style=\"font-weight: bold;\">Data Access</span>\r\n<ul><li>Administrative Access. Administrative access via SSH, SQL Developer, Data Pump, SQL*Plus and other tools.</li><li>Data Access. Use any available Oracle client language library including: Oracle Net (SQL*Net), JDBC, JSON, and other drivers to access your dedicated instances.</li><li>Tools. Use Enterprise Manager, SQL Developer, Application Express, or other Oracle or third party tools</li><li>Secure Network Access. IPsec VPN option for secure access.</li></ul>\r\n<span style=\"font-weight: bold;\">Management</span>\r\n<ul><li>Scaling. Control storage and compute scaling thru web console (or REST API). Burst from subscription to metered compute to cost effectively handle peak workloads.</li><li>Security. Use the Compute Service's web console (or REST API) to manage security rules and IPsec lists for flexible, enterprise-level network security. Leverage all Oracle Database defense in depth security capabilities for complete data security.</li><li>Patching and Upgrade. Use patching automation tools built into the web console (or REST API) for easy application of Database quarterly patches. Use simple migration processes to validate upgrades.</li><li>Backup Options. Schedule backup automation to fast local storage, the Oracle Cloud Object Store or both. Instantiate new services from backup copies for development and test.</li></ul>\r\n<span style=\"font-weight: bold;\">Elastic</span>\r\nElastic Resources. Add or remove compute resources, memory or storage as needed","shortDescription":"Enterprise-proven database cloud service that supports any size workload from dev/test to large scale production deployment. Multi-layered, in depth security with encryption by default. ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":8,"sellingCount":12,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Database Cloud Service","keywords":"Oracle, Database, Data, your, with, Cloud, security, Performance","description":"<ul><li>Fast.&nbsp;Oracle Database in highly available and scalable configurations rapidly provisioned and ready for use in minutes.</li><li>Simple.&nbsp;Oracle Database with administration fully managed by Oracle or under your control with one-click built in ","og:title":"Oracle Database Cloud Service","og:description":"<ul><li>Fast.&nbsp;Oracle Database in highly available and scalable configurations rapidly provisioned and ready for use in minutes.</li><li>Simple.&nbsp;Oracle Database with administration fully managed by Oracle or under your control with one-click built in ","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Database_Cloud_Service.png"},"eventUrl":"","translationId":1532,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":27,"title":"ODMS - Operational Database Management System","alias":"odms-operational-database-management-system","description":"Operational database management systems (also referred to as OLTP On-Line Transaction Processing databases) are used to update data in real-time. These types of databases allow users to do more than simply view archived data. Operational databases allow you to modify that data (add, change or delete data), doing it in real-time. OLTP databases provide transactions as the main abstraction to guarantee data consistency that guarantees the so-called ACID properties. Basically, the consistency of the data is guaranteed in the case of failures and/or concurrent access to the data.\r\nSince the early 90s, the operational database software market has been largely taken over by SQL engines. Today, the operational DBMS market (formerly OLTP) is evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases. NoSQL databases typically have focused on scalability and have renounced to data consistency by not providing transactions as OLTP systems do. Operational databases are increasingly supporting distributed database architecture that can leverage distribution to provide high availability and fault tolerance through replication and scale-out ability.\r\nThe growing role of operational databases in the IT industry is moving fast from legacy databases to real-time operational databases capable to handle distributed web and mobile demand and to address Big data challenges. Recognizing this, Gartner started to publish the Magic Quadrant for Operational Database Management Systems in October 2013.\r\nOperational databases are used to store, manage and track real-time business information. For example, a company might have an operational database used to track warehouse/stock quantities. As customers order products from an online web store, an operational database can be used to keep track of how many items have been sold and when the company will need to reorder stock. An operational database stores information about the activities of an organization, for example, customer relationship management transactions or financial operations, in a computer database.\r\nOperational databases allow a business to enter, gather, and retrieve large quantities of specific information, such as company legal data, financial data, call data records, personal employee information, sales data, customer data, data on assets and much other information. An important feature of storing information in an operational database is the ability to share information across the company and over the Internet. Operational databases can be used to manage mission-critical business data, to monitor activities, to audit suspicious transactions, or to review the history of dealings with a particular customer. They can also be part of the actual process of making and fulfilling a purchase, for example in e-commerce.","materialsDescription":" <span style=\"font-weight: bold;\">What is DBMS used for?</span>\r\nDBMS, commonly known as Database Management System, is an application system whose main purpose revolves around the data. This is a system that allows its users to store the data, define it, retrieve it and update the information about the data inside the database.\r\n<span style=\"font-weight: bold;\">What is meant by a Database?</span>\r\nIn simple terms, Database is a collection of data in some organized way to facilitate its user’s to easily access, manage and upload the data.\r\n<span style=\"font-weight: bold;\">Why is the use of DBMS recommended? Explain by listing some of its major advantages.</span>\r\nSome of the major advantages of DBMS are as follows:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Controlled Redundancy:</span></span> DBMS supports a mechanism to control the redundancy of data inside the database by integrating all the data into a single database and as data is stored at only one place, the duplicity of data does not happen.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Data Sharing:</span></span> Sharing of data among multiple users simultaneously can also be done in DBMS as the same database will be shared among all the users and by different application programs.</li><li> Backup and Recovery Facility: DBMS minimizes the pain of creating the backup of data again and again by providing a feature of ‘backup and recovery’ which automatically creates the data backup and restores the data whenever required.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Enforcement of Integrity Constraints:</span></span> Integrity Constraints are very important to be enforced on the data so that the refined data after putting some constraints are stored in the database and this is followed by DBMS.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Independence of Data:</span></span> It simply means that you can change the structure of the data without affecting the structure of any of the application programs.</li></ul>\r\n<span style=\"font-weight: bold;\">What is the purpose of normalization in DBMS?</span>\r\nNormalization is the process of analyzing the relational schemas which are based on their respective functional dependencies and the primary keys in order to fulfill certain properties.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">The properties include:</span></span>\r\n<ul><li>To minimize the redundancy of the Data.</li><li>To minimize the Insert, Delete and Update Anomalies.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_ODMS.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"oracle-database-enterprise-edition":{"id":54,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/oracle_db.png","logo":true,"scheme":false,"title":"Oracle Database Enterprise Edition","vendorVerified":0,"rating":"2.00","implementationsCount":2,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-database-enterprise-edition","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"Oracle Database Enterprise Edition will greatly benefit customers deploying private database clouds and SaaS vendors looking for the power of Oracle Database in a secure and isolated multi tenant model\r\nOracle Database Enterprise Edition provides comprehensive features to manage the most demanding transaction processing, big data, and data warehouse workloads\r\nCustomers can choose a wide range of Oracle Database Enterprise Edition options to deliver on business users’ performance, security, big data, cloud, and availability service-level expectations","shortDescription":"Oracle Database Enterprise Edition features more than 500 new features including a new architecture that simplifies the process of consolidating databases onto the cloud, enabling customers to manage many databases as one without changing their applications.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":14,"sellingCount":6,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Database Enterprise Edition","keywords":"Database, Oracle, Edition, Enterprise, data, transaction, choose, Customers","description":"Oracle Database Enterprise Edition will greatly benefit customers deploying private database clouds and SaaS vendors looking for the power of Oracle Database in a secure and isolated multi tenant model\r\nOracle Database Enterprise Edition provides comprehensive","og:title":"Oracle Database Enterprise Edition","og:description":"Oracle Database Enterprise Edition will greatly benefit customers deploying private database clouds and SaaS vendors looking for the power of Oracle Database in a secure and isolated multi tenant model\r\nOracle Database Enterprise Edition provides comprehensive","og:image":"https://old.roi4cio.com/fileadmin/user_upload/oracle_db.png"},"eventUrl":"","translationId":101,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":27,"title":"ODMS - Operational Database Management System","alias":"odms-operational-database-management-system","description":"Operational database management systems (also referred to as OLTP On-Line Transaction Processing databases) are used to update data in real-time. These types of databases allow users to do more than simply view archived data. Operational databases allow you to modify that data (add, change or delete data), doing it in real-time. OLTP databases provide transactions as the main abstraction to guarantee data consistency that guarantees the so-called ACID properties. Basically, the consistency of the data is guaranteed in the case of failures and/or concurrent access to the data.\r\nSince the early 90s, the operational database software market has been largely taken over by SQL engines. Today, the operational DBMS market (formerly OLTP) is evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases. NoSQL databases typically have focused on scalability and have renounced to data consistency by not providing transactions as OLTP systems do. Operational databases are increasingly supporting distributed database architecture that can leverage distribution to provide high availability and fault tolerance through replication and scale-out ability.\r\nThe growing role of operational databases in the IT industry is moving fast from legacy databases to real-time operational databases capable to handle distributed web and mobile demand and to address Big data challenges. Recognizing this, Gartner started to publish the Magic Quadrant for Operational Database Management Systems in October 2013.\r\nOperational databases are used to store, manage and track real-time business information. For example, a company might have an operational database used to track warehouse/stock quantities. As customers order products from an online web store, an operational database can be used to keep track of how many items have been sold and when the company will need to reorder stock. An operational database stores information about the activities of an organization, for example, customer relationship management transactions or financial operations, in a computer database.\r\nOperational databases allow a business to enter, gather, and retrieve large quantities of specific information, such as company legal data, financial data, call data records, personal employee information, sales data, customer data, data on assets and much other information. An important feature of storing information in an operational database is the ability to share information across the company and over the Internet. Operational databases can be used to manage mission-critical business data, to monitor activities, to audit suspicious transactions, or to review the history of dealings with a particular customer. They can also be part of the actual process of making and fulfilling a purchase, for example in e-commerce.","materialsDescription":" <span style=\"font-weight: bold;\">What is DBMS used for?</span>\r\nDBMS, commonly known as Database Management System, is an application system whose main purpose revolves around the data. This is a system that allows its users to store the data, define it, retrieve it and update the information about the data inside the database.\r\n<span style=\"font-weight: bold;\">What is meant by a Database?</span>\r\nIn simple terms, Database is a collection of data in some organized way to facilitate its user’s to easily access, manage and upload the data.\r\n<span style=\"font-weight: bold;\">Why is the use of DBMS recommended? Explain by listing some of its major advantages.</span>\r\nSome of the major advantages of DBMS are as follows:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Controlled Redundancy:</span></span> DBMS supports a mechanism to control the redundancy of data inside the database by integrating all the data into a single database and as data is stored at only one place, the duplicity of data does not happen.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Data Sharing:</span></span> Sharing of data among multiple users simultaneously can also be done in DBMS as the same database will be shared among all the users and by different application programs.</li><li> Backup and Recovery Facility: DBMS minimizes the pain of creating the backup of data again and again by providing a feature of ‘backup and recovery’ which automatically creates the data backup and restores the data whenever required.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Enforcement of Integrity Constraints:</span></span> Integrity Constraints are very important to be enforced on the data so that the refined data after putting some constraints are stored in the database and this is followed by DBMS.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Independence of Data:</span></span> It simply means that you can change the structure of the data without affecting the structure of any of the application programs.</li></ul>\r\n<span style=\"font-weight: bold;\">What is the purpose of normalization in DBMS?</span>\r\nNormalization is the process of analyzing the relational schemas which are based on their respective functional dependencies and the primary keys in order to fulfill certain properties.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">The properties include:</span></span>\r\n<ul><li>To minimize the redundancy of the Data.</li><li>To minimize the Insert, Delete and Update Anomalies.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_ODMS.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"oracle-enterprise-manager":{"id":3215,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Enterprise_Manager.png","logo":true,"scheme":false,"title":"Oracle Enterprise Manager","vendorVerified":0,"rating":"0.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-enterprise-manager","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"<span style=\"color: rgb(97, 97, 97); \">Oracle Enterprise Manager (OEM or EM) is a set of web-based tools aimed at managing software and hardware produced by Oracle Corporation as well as by some non-Oracle entities.</span>\r\n<span style=\"font-weight: bold; \"><span style=\"color: rgb(97, 97, 97); \">Modern Systems Management</span></span>\r\nAs an IT operations professional, your job is more critical than ever because cloud operations are now a fact of life. From managing on-premises assets to deploying and managing new applications to the cloud, Oracle provides a comprehensive solution for managing your environments with Oracle Management Cloud and Oracle Enterprise Manager.\r\nOracle Enterprise Manager has traditionally provided deep management for the Oracle stack using an on-premises delivery method. Oracle Management Cloud is our next-generation, cloud-based management offering powered by machine learning and big data analytics.\r\n<span style=\"font-weight: bold; \">An Extensive Portfolio of Management Solutions</span>\r\n<span style=\"font-weight: bold; \">Cloud Management</span>\r\nFor existing Oracle Enterprise Manager customers, managing cloud assets is possible right within the cloud control user interface. For new customers, the easiest way to monitor cloud assets is to use Oracle Management Cloud.\r\n<span style=\"font-weight: bold; \">Application Management</span>\r\nManage Oracle packaged applications, including - but not limited to - Oracle E-Business Suite, Siebel, PeopleSoft, JD Edwards EnterpriseOne, Tax and Utilities, Oracle Communications applications, and Primavera.\r\n<span style=\"font-weight: bold; \">Middleware Management</span>\r\nOracle Enterprise Manager provides a comprehensive management solution for Oracle WebLogic Server, Oracle Fusion Middleware, and non-Oracle middleware technology such as Apache Tomcat, JBoss Application Server, and IBM WebSphere Application Server. The solution offers capabilities spanning configuration and compliance management, patching, provisioning, and performance management, as well as administration and auditing.\r\n<span style=\"font-weight: bold; \">Database Management</span>\r\nTake advantage of Oracle&amp;rsquo;s time-tested and popular solutions including Diagnostics Pack, Tuning Pack, Real Application Testing, and related technologies to manage Oracle Databases.\r\n<span style=\"font-weight: bold; \">Hardware and Virtualization Management</span>\r\nManage physical and virtual server environments including Oracle Solaris and Oracle Linux operating systems and virtual environments (Solaris Zones and OVM for SPARC).\r\n<span style=\"font-weight: bold; \">Application Performance Management</span>\r\nManage web and Java applications built on Oracle WebLogic Server and Oracle Databases. Monitor web browser activity and application transactions to optimize user experience and application performance.\r\n<span style=\"font-weight: bold; \">Application Quality Management</span>\r\nA complete testing solution for Oracle Database, Oracle packaged applications, and custom web applications.\r\n<span style=\"font-weight: bold; \">Engineered Systems Management</span>\r\nManage Exadata Database Machine with comprehensive lifecycle management, from monitoring to management and ongoing maintenance.\r\n<span style=\"font-weight: bold; \">Lifecycle Management</span>\r\nPowerful capabilities to aid consolidation, enforce standardization, and deploy automation.\r\n<span style=\"font-weight: bold;\">Heterogeneous Management</span>\r\nExtend Oracle Enterprise Manager to monitor non-Oracle technologies. For customers new to Oracle Enterprise Manager, please review Oracle Management Cloud for cloud-based monitoring of heterogeneous environments.","shortDescription":"Enterprise Manager allows administrators to manage the work of complex information systems built primarily on the basis of Oracle technologies, including software products from other companies.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":0,"sellingCount":3,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Enterprise Manager","keywords":"","description":"<span style=\"color: rgb(97, 97, 97); \">Oracle Enterprise Manager (OEM or EM) is a set of web-based tools aimed at managing software and hardware produced by Oracle Corporation as well as by some non-Oracle entities.</span>\r\n<span style=\"font-weight: bold; \"><s","og:title":"Oracle Enterprise Manager","og:description":"<span style=\"color: rgb(97, 97, 97); \">Oracle Enterprise Manager (OEM or EM) is a set of web-based tools aimed at managing software and hardware produced by Oracle Corporation as well as by some non-Oracle entities.</span>\r\n<span style=\"font-weight: bold; \"><s","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Enterprise_Manager.png"},"eventUrl":"","translationId":3216,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":243,"title":"Database Development and Management Tools","alias":"database-development-and-management-tools","description":" Many companies create various multi-functional applications to facilitate the management, development and administration of databases.\r\nMost relational databases consist of two separate components: a “back-end” where data is stored and a “front-end” —a user interface for interacting with data. This type of design is smart enough, as it parallels a two-level programming model that separates the data layer from the user interface and allows you to concentrate the software market directly on improving its products. This model opens doors for third parties who create their own applications for interacting with various databases.\r\nDatabase development tools can be used to create varieties of the following programs:\r\n<ul><li>client programs;</li><li>database servers and their individual components;</li><li>custom applications.</li></ul>\r\nThe programs of the first and second types are rather small since they are intended mainly for system programmers. The third type packages are much larger, but smaller than full-featured DBMS.\r\nThe development tools for custom applications include programming systems, various program libraries for various programming languages, and development automation packages (including client-server systems).<br />Database management system, abbr. DBMS (Eng. Database Management System, abbr. DBMS) - a set of software and linguistic tools for general or special purposes, providing management of the creation and use of databases.\r\nDBMS - a set of programs that allow you to create a database (DB) and manipulate data (insert, update, delete and select). The system ensures the safety, reliability of storage and data integrity, as well as provides the means to administer the database.","materialsDescription":" <span style=\"font-weight: bold;\">The main functions of the DBMS:</span>\r\n<ul><li>data management in external memory (on disk);</li><li>data management in RAM using disk cache;</li><li>change logging, backup and recovery of databases after failures;</li><li>support for database languages ​​(data definition language, data manipulation language).</li></ul>\r\n<span style=\"font-weight: bold;\">The composition of the DBMS:</span>\r\nUsually, a modern DBMS contains the following components:\r\n<ul><li>the core, which is responsible for managing data in external and RAM and logging;</li><li>database language processor, which provides the optimization of requests for the extraction and modification of data and the creation, as a rule, of a machine-independent executable internal code;</li><li>a run-time support subsystem that interprets data manipulation programs that create a user interface with a DBMS;<br />service programs (external utilities) that provide a number of additional capabilities for maintaining an information system.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Database_Development_and_Management_Tools.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"oracle-identity-and-access-management-idm":{"id":1938,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Identity_and_Access_Management.jpg","logo":true,"scheme":false,"title":"Oracle Identity and Access Management (IAM)","vendorVerified":0,"rating":"2.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":150,"alias":"oracle-identity-and-access-management-idm","companyTitle":"Oracle","companyTypes":["supplier","vendor"],"companyId":164,"companyAlias":"oracle","description":"Oracle’s complete, integrated, next-generation identity management platform provides breakthrough scalability with an industry-leading suite of identity management solutions. Reduce operational costs. Achieve rapid compliance with regulatory mandates. Secure sensitive applications and data—regardless of whether they are hosted on premises or in the cloud. <span style=\"font-weight: bold;\">Identity Cloud</span> Oracle extends its leadership in IAM by introducing the next generation comprehensive security and identity platform that is cloud-native and designed to be an integral part of the enterprise security fabric, providing modern identity for modern applications. <span style=\"font-weight: bold;\">Identity Governance</span> Balance access, security, and compliance while reducing costs. Simplify account administration, streamline audit tasks, and managing identities across all your applications. <span style=\"font-weight: bold;\">Access Management</span> The industry’s most advanced solution for securing applications, data, and web- and cloud-based services. Oracle Access Management Oracle API Gateway Oracle Enterprise Single Sign-On <span style=\"font-weight: bold;\">Directory Services</span> The only integrated directory solution optimized for cloud, mobile, and social ecosystems. Designed to deliver breakthrough performance for mission-critical enterprise and carrier-grade environments.","shortDescription":"Oracle Identity and Access Management (IAM) is complete, integrated, next-generation identity management platform provides breakthrough scalability ","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":18,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Oracle Identity and Access Management (IAM)","keywords":"","description":"Oracle’s complete, integrated, next-generation identity management platform provides breakthrough scalability with an industry-leading suite of identity management solutions. Reduce operational costs. Achieve rapid compliance with regulatory mandates. Secure s","og:title":"Oracle Identity and Access Management (IAM)","og:description":"Oracle’s complete, integrated, next-generation identity management platform provides breakthrough scalability with an industry-leading suite of identity management solutions. Reduce operational costs. Achieve rapid compliance with regulatory mandates. Secure s","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Oracle_Identity_and_Access_Management.jpg"},"eventUrl":"","translationId":1939,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[{"id":46,"title":"IAM - Identity and Access Management"}],"testingArea":"","categories":[{"id":44,"title":"IAM - Identity and Access Management","alias":"iam-identity-and-access-management","description":"<span style=\"font-weight: bold; \">Identity management</span> (IdM), also known as <span style=\"font-weight: bold; \">identity and access management</span> (IAM or IdAM), is a framework of policies and technologies for ensuring that the proper people in an enterprise have the appropriate access to technology resources. IdM systems fall under the overarching umbrellas of IT security and Data Management.\r\nWith an IAM framework in place, information technology (IT) managers can control user access to critical information within their organizations. Identity and access management software offers role-based access control, which lets system administrators regulate access to systems or networks based on the roles of individual users within the enterprise. In this context, access is the ability of an individual user to perform a specific task, such as view, create or modify a file. Roles are defined according to job competency, authority and responsibility within the enterprise.\r\nSystems used for identity and access management include single sign-on systems, multi-factor authentication and privileged access management (PAM). These technologies also provide the ability to securely store identity and profile data as well as data governance functions to ensure that only data that is necessary and relevant is shared. IAM systems can be deployed on premises, provided by a third-party vendor through a cloud-based subscription model or deployed in a hybrid cloud.\r\n<span style=\"font-weight: bold; \">Basic components of IAM.</span> On a fundamental level, IAM encompasses the following components:\r\n<ul><li>How individuals are identified in a system.</li><li>How roles are identified in a system and how they are assigned to individuals.</li><li>Adding, removing and updating individuals and their roles in a system.</li><li>Assigning levels of access to individuals or groups of individuals.</li><li>Protecting the sensitive data within the system and securing the system itself.</li></ul>\r\nAccess identity management system should consist of all the necessary controls and tools to capture and record user login information, manage the enterprise database of user identities and orchestrate the assignment and removal of access privileges. That means that systems used for IAM should provide a centralized directory service with oversight as well as visibility into all aspects of the company user base.\r\nTechnologies for identity access and management should simplify the user provisioning and account setup process. User access management software should reduce the time it takes to complete these processes with a controlled workflow that decreases errors as well as the potential for abuse while allowing automated account fulfillment. An identity and access management system should also allow administrators to instantly view and change access rights.\r\nIAM systems should be used to provide flexibility to establish groups with specific privileges for specific roles so that access rights based on employee job functions can be uniformly assigned. Identity access management software should also provide request and approval processes for modifying privileges because employees with the same title and job location may need customized, or slightly different, access.\r\n\r\n","materialsDescription":"<h1 class=\"align-center\"><span style=\"font-weight: bold; \">What is the difference between identity and access management?</span></h1>\r\nAfter authentication, there needs to be an access control decision. The decision is based on the information available about the user. The difference between identity management and access management is thus:\r\n<ul><li>Identity Management is about managing the attributes related to the user.</li><li>Access Management is about evaluating the attributes based on policies and making Yes/No decisions.</li></ul>\r\nThere are three types of Access Control Systems: \r\n<ul><li>Discretionary Access Control (DAC)</li><li>Mandatory Access Control (MAC)</li><li>Role-Based Access Control (RBAC)</li></ul>\r\n<h1 class=\"align-center\">What are the main benefits of identity management?</h1>\r\nIdentity access and management are useful in many ways: it ensures regulatory compliance, enables cost savings, and simplifies the lives of your customers by enhancing their experience. These are the main benefits of having an IAM solution:\r\n<ul><li><span style=\"font-weight: bold; \">Easily accessible anywhere</span></li></ul>\r\nNowadays, people need their identities all the time to use services and resources. In that sense, they require access to any platform without limits using their IDs, thus eliminating barriers for customers to enter the platform anytime, anywhere.\r\n<ul><li><span style=\"font-weight: bold; \">It encourages the connection between the different parts</span></li></ul>\r\nThe digital transformation that is taking place among more and more organizations forces the need for people, applications and devices to stay connected to each other. And, as expected, all of these processes bring with them some security threats.\r\nHowever, IAM software is a solution that guarantees correct administration with the best identity providers, such as Salesforce, Twitter and Google. Authentication and security are two of the strengths of Identity and Access Management, as well as being extendable and ready for future advances.&nbsp; \r\n<ul><li><span style=\"font-weight: bold; \">It improves productivity</span></li></ul>\r\nIdentity software automates the entry of new personnel and facilitates access to all components of the system with which the company operates. This allows reducing times in the delivery of access so that they begin to produce immediately. For this reason, business agility is also increased by using the advantages that technology makes available to meet the demands of today’s world. \r\n<ul><li><span style=\"font-weight: bold; \">It optimizes user experience</span></li></ul>\r\nRemembering so many usernames and passwords to access social networks, banks and other services on the Internet becomes a challenge for people. Thanks to user identity management system, people can get an identity that provides access to different systems. Single sign-on (SSO) allows customers and partners to access different internal and external applications with the same access method. That way the user experience will not be affected.\r\n<ul><li><span style=\"font-weight: bold; \">Secure your brand at all levels</span></li></ul>\r\nThere will be no risk of security breach, regardless of whether a connection is made from multiple identity providers. Identity management software and access management software enables strong authentication to keep your business and brand secure. Detailed verification of all identities entering the system is performed, in addition to allowing various licenses to limit access levels. At the same time, it monitors through analysis, fraud detection and alert functions that indicate a possible real risk. In short, enterprise identity management system is a reliable tool that employs technology to support digital transformation. A software that provides agility, security and satisfaction to the company’s customers. ","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_IAM.png"},{"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"},{"id":27,"title":"ODMS - Operational Database Management System","alias":"odms-operational-database-management-system","description":"Operational database management systems (also referred to as OLTP On-Line Transaction Processing databases) are used to update data in real-time. These types of databases allow users to do more than simply view archived data. Operational databases allow you to modify that data (add, change or delete data), doing it in real-time. OLTP databases provide transactions as the main abstraction to guarantee data consistency that guarantees the so-called ACID properties. Basically, the consistency of the data is guaranteed in the case of failures and/or concurrent access to the data.\r\nSince the early 90s, the operational database software market has been largely taken over by SQL engines. Today, the operational DBMS market (formerly OLTP) is evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases. NoSQL databases typically have focused on scalability and have renounced to data consistency by not providing transactions as OLTP systems do. Operational databases are increasingly supporting distributed database architecture that can leverage distribution to provide high availability and fault tolerance through replication and scale-out ability.\r\nThe growing role of operational databases in the IT industry is moving fast from legacy databases to real-time operational databases capable to handle distributed web and mobile demand and to address Big data challenges. Recognizing this, Gartner started to publish the Magic Quadrant for Operational Database Management Systems in October 2013.\r\nOperational databases are used to store, manage and track real-time business information. For example, a company might have an operational database used to track warehouse/stock quantities. As customers order products from an online web store, an operational database can be used to keep track of how many items have been sold and when the company will need to reorder stock. An operational database stores information about the activities of an organization, for example, customer relationship management transactions or financial operations, in a computer database.\r\nOperational databases allow a business to enter, gather, and retrieve large quantities of specific information, such as company legal data, financial data, call data records, personal employee information, sales data, customer data, data on assets and much other information. An important feature of storing information in an operational database is the ability to share information across the company and over the Internet. Operational databases can be used to manage mission-critical business data, to monitor activities, to audit suspicious transactions, or to review the history of dealings with a particular customer. They can also be part of the actual process of making and fulfilling a purchase, for example in e-commerce.","materialsDescription":" <span style=\"font-weight: bold;\">What is DBMS used for?</span>\r\nDBMS, commonly known as Database Management System, is an application system whose main purpose revolves around the data. This is a system that allows its users to store the data, define it, retrieve it and update the information about the data inside the database.\r\n<span style=\"font-weight: bold;\">What is meant by a Database?</span>\r\nIn simple terms, Database is a collection of data in some organized way to facilitate its user’s to easily access, manage and upload the data.\r\n<span style=\"font-weight: bold;\">Why is the use of DBMS recommended? Explain by listing some of its major advantages.</span>\r\nSome of the major advantages of DBMS are as follows:\r\n<ul><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Controlled Redundancy:</span></span> DBMS supports a mechanism to control the redundancy of data inside the database by integrating all the data into a single database and as data is stored at only one place, the duplicity of data does not happen.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Data Sharing:</span></span> Sharing of data among multiple users simultaneously can also be done in DBMS as the same database will be shared among all the users and by different application programs.</li><li> Backup and Recovery Facility: DBMS minimizes the pain of creating the backup of data again and again by providing a feature of ‘backup and recovery’ which automatically creates the data backup and restores the data whenever required.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Enforcement of Integrity Constraints:</span></span> Integrity Constraints are very important to be enforced on the data so that the refined data after putting some constraints are stored in the database and this is followed by DBMS.</li><li><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Independence of Data:</span></span> It simply means that you can change the structure of the data without affecting the structure of any of the application programs.</li></ul>\r\n<span style=\"font-weight: bold;\">What is the purpose of normalization in DBMS?</span>\r\nNormalization is the process of analyzing the relational schemas which are based on their respective functional dependencies and the primary keys in order to fulfill certain properties.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">The properties include:</span></span>\r\n<ul><li>To minimize the redundancy of the Data.</li><li>To minimize the Insert, Delete and Update Anomalies.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_ODMS.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"pentaho-data-integration":{"id":437,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Pentaho_Data_Integration.png","logo":true,"scheme":false,"title":"Pentaho Data Integration","vendorVerified":0,"rating":"1.00","implementationsCount":1,"suppliersCount":0,"supplierPartnersCount":0,"alias":"pentaho-data-integration","companyTitle":"Pentaho","companyTypes":["vendor"],"companyId":2901,"companyAlias":"pentaho","description":"EASE OF USE WITH THE POWER TO INTEGRATE ALL DATA\r\nIntuitive drag-and-drop data integration coupled with data agnostic connectivity spanning from flat files and RDBMS to Hadoop and beyond.\r\nGraphical extract-transform-load (ETL) designer to simplify the creation of data pipelines\r\nRich library of pre-built components to access, prepare, and blend data from relational sources, big data stores, enterprise applications, and more\r\nPowerful orchestration capabilities to coordinate and combine transformations, including notifications and alerts\r\nAgile views for modeling and visualizing data on the fly during the data preparation process\r\nIntegrated enterprise scheduler for coordinating workflows and debugger for testing and tuning job execution\r\n\r\nBIG DATA INTEGRATION WITH ZERO CODING REQUIRED\r\nPentaho's intuitive toolset accelerates the design and deployment of big data analytics by up to 15 times compared to hand-coding techniques.&nbsp;\r\nComplete visual big data integration tools eliminate manual programming and scripting from the process\r\nDeep integration and the Adaptive Big Data Layer accelerate access to the latest versions and capabilities of popular big data stores\r\nRobust support for Hadoop distributions, Spark, NoSQL data stores and analytic databases\r\nEmpowers users to architect big data blends at the source, and stream them directly for more complete and accurate analytics\r\nIntegrate advanced analytic models from R, Python, and Weka to operationalize predictive models, while reducing data prep time\r\n\r\nBRINGING ANALYTICS INTO DATA PREP\r\nPentaho is the only vendor on the market to deliver a visual data experience from anywhere in the data pipeline, with a single platform.\r\nAccess any analytics, including charts, visualizations, and reporting, from any step in data prep– shortening the cycle from data to analytics\r\nETL developers and data prep staff can easily spot check analytics in-flight\r\nDirectly publish data sources for the business user, creating a more collaborative process between business and IT\r\nData services to virtualize transformations without staging, making data sets immediately available to reports and applications\r\nSet up a self-service data prep environment with governed, on-demand data sets.\r\n","shortDescription":"Pentaho Data Integration prepares and blends data to create a complete picture of your business that drives actionable insights. The platform delivers accurate, analytics-ready data to end users from any source. With visual tools to eliminate coding and complexity, Pentaho puts big data and all data sources at the fingertips of business and IT users.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":20,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Pentaho Data Integration","keywords":"data, from, analytics, Data, with, more, Pentaho, prep","description":"EASE OF USE WITH THE POWER TO INTEGRATE ALL DATA\r\nIntuitive drag-and-drop data integration coupled with data agnostic connectivity spanning from flat files and RDBMS to Hadoop and beyond.\r\nGraphical extract-transform-load (ETL) designer to simplify the creatio","og:title":"Pentaho Data Integration","og:description":"EASE OF USE WITH THE POWER TO INTEGRATE ALL DATA\r\nIntuitive drag-and-drop data integration coupled with data agnostic connectivity spanning from flat files and RDBMS to Hadoop and beyond.\r\nGraphical extract-transform-load (ETL) designer to simplify the creatio","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Pentaho_Data_Integration.png"},"eventUrl":"","translationId":438,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":245,"title":"Data Integration and Access Software","alias":"data-integration-and-access-software","description":" Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.\r\nData integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.\r\nThere is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.\r\nIn a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.","materialsDescription":" <span style=\"font-weight: bold;\">Integration helps businesses succeed</span>\r\nEven if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.\r\nLet’s take a look at a typical analytical use case. Without unified data, a single report typically involves logging into multiple accounts, on multiple sites, accessing data within native apps, copying over the data, reformatting, and cleansing, all before analysis can happen.\r\nConducting all these operations as efficiently as possible highlights the importance of data integration. It also showcases the major benefits of a well thought-out approach to data integration:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Improves collaboration and unification of systems</span></span>\r\nEmployees in every department — and sometimes in disparate physical locations — increasingly need access to the company's data for shared and individual projects. IT needs a secure solution for delivering data via self-service access across all lines of business.\r\nAdditionally, employees in almost every department are generating and improving data that the rest of the business needs. Data integration needs to be collaborative and unified in order to improve collaboration and unification across the organization.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Saves time and boosts efficiency</span></span>\r\nWhen a company takes measures to integrate its data properly, it cuts down significantly on the time it takes to prepare and analyze that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application.\r\nAdditionally, using the right tools, rather than hand-coding the integration, returns even more time (and resources overall) to the dev team.\r\nAll the time saved on these tasks can be put to other, better uses, with more hours earmarked for analysis and execution to make an organization more productive and competitive.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduces errors (and rework)</span></span>\r\nThere’s a lot to keep up with when it comes to a company’s data resources. To manually gather data, employees must know every location and account that they might need to explore — and have all necessary software installed before they begin — to ensure their data sets will be complete and accurate. If a data repository is added, and that employee is unaware, they will have an incomplete data set.\r\nAdditionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes. With automated updates, however, reports can be run easily in real time, whenever they’re needed.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Delivers more valuable data</span></span>\r\nData integration efforts actually improve the value of a business’ data over time. As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Data_Integration_and_Access_Software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]},"redis":{"id":5202,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Redis.png","logo":true,"scheme":false,"title":"Redis","vendorVerified":0,"rating":"0.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"redis","companyTitle":"Redis Labs","companyTypes":["supplier","vendor"],"companyId":8314,"companyAlias":"redis-labs","description":"Redis supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.\r\nYou can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing an element to a list; computing set intersection, union, and difference; or getting the member with highest ranking in a sorted set.\r\nIn order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on your use case, you can persist it either by dumping the dataset to disk every once in a while or by appending each command to a log. Persistence can be optionally disabled if you just need a feature-rich, networked, in-memory cache.\r\nRedis also supports trivial-to-setup master-slave asynchronous replication, with very fast non-blocking first synchronization, auto-reconnection with partial resynchronization on net split.\r\nOther features include:\r\n<ul><li>Transactions</li><li>Pub/Sub</li><li>Lua scripting</li><li>Keys with a limited time-to-live</li><li>LRU eviction of keys</li><li>Automatic failover</li></ul>\r\nYou can use Redis from most programming languages out there.\r\nRedis is written in ANSI C and works in most POSIX systems like Linux, *BSD, OS X without external dependencies. Linux and OS X are the two operating systems where Redis is developed and tested the most, and we recommend using Linux for deploying. Redis may work in Solaris-derived systems like SmartOS, but the support is the best effort. There is no official support for Windows builds.","shortDescription":"Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":7,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Redis","keywords":"","description":"Redis supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and differ","og:title":"Redis","og:description":"Redis supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and differ","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Redis.png"},"eventUrl":"","translationId":5203,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":240,"title":"Non-relational Database Management Systems","alias":"non-relational-database-management-systems","description":" A non-relational database is a database that does not incorporate the table/key model that relational database management systems (RDBMS) promote. These kinds of databases require data manipulation techniques and processes designed to provide solutions to big data problems that big companies face. The most popular emerging non-relational database is called NoSQL (Not Only SQL).\r\nMost non-relational databases are incorporated into websites such as Google, Yahoo!, Amazon and Facebook. These websites introduce a slew of new applications every single day with millions and millions of users, so they would not be able to handle large traffic spikes with existing RDBMS solutions. Since RDBMS cannot handle the problem, they’ve switched to a new kind of DBMS that is capable of handling Web-scale data in a non-relational way.<br /><br />An interesting aspect of a non-relational database such as NoSQL is scalability. NoSQL uses the BASE system (basically available, soft-state, eventually consistent). Non-relational databases forgo the table form of rows and columns relational databases use in favor of specialized frameworks to store data, which can be accessed by special query APIs. Persistence is an important element in these databases. To enable fast throughput of vast amounts of data the best option for performance is &quot;in memory,&quot; rather than reading and writing from disks.<br /><br />Relational databases use the ACID system, which ensures consistency of data in all situations of data management but obviously takes longer to process because of all those relations and its branching nature. However, the BASE system loosened up the requirements on consistency to achieve better availability and partitioning for better scalability.","materialsDescription":" <span style=\"font-weight: bold; \">What are NoSQL databases?</span>\r\nNoSQL databases are purpose built for specific data models and have flexible schemas for building modern applications. NoSQL databases are widely recognized for their ease of development, functionality, and performance at scale. They use a variety of data models, including document, graph, key-value, in-memory, and search. This page includes resources to help you better understand NoSQL databases and to get started.\r\n<span style=\"font-weight: bold; \">How Does a NoSQL (nonrelational) Database Work?</span>\r\nNoSQL databases use a variety of data models for accessing and managing data, such as document, graph, key-value, in-memory, and search. These types of databases are optimized specifically for applications that require large data volume, low latency, and flexible data models, which are achieved by relaxing some of the data consistency restrictions of other databases.\r\nConsider the example of modeling the schema for a simple book database:\r\n<ul><li>In a relational database, a book record is often dissembled (or “normalized”) and stored in separate tables, and relationships are defined by primary and foreign key constraints. In this example, the Books table has columns for ISBN, Book Title, and Edition Number, the Authors table has columns for AuthorID and Author Name, and finally the Author-ISBN table has columns for AuthorID and ISBN. The relational model is designed to enable the database to enforce referential integrity between tables in the database, normalized to reduce the redundancy, and generally optimized for storage.</li><li>In a NoSQL database, a book record is usually stored as a JSON document. For each book, the item, ISBN, Book Title, Edition Number, Author Name, and AuthorID are stored as attributes in a single document. In this model, data is optimized for intuitive development and horizontal scalability.</li></ul>\r\n<span style=\"font-weight: bold; \">Why should you use a NoSQL database?</span>\r\nNoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences.\r\n<ul><li><span style=\"font-weight: bold; \">Flexibility:</span> NoSQL databases generally provide flexible schemas that enable faster and more iterative development. The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data.</li><li><span style=\"font-weight: bold; \">Scalability:</span> NoSQL databases are generally designed to scale out by using distributed clusters of hardware instead of scaling up by adding expensive and robust servers. Some cloud providers handle these operations behind-the-scenes as a fully managed service.</li><li><span style=\"font-weight: bold; \">High-performance:</span> NoSQL database are optimized for specific data models (such as document, key-value, and graph) and access patterns that enable higher performance than trying to accomplish similar functionality with relational databases.</li><li><span style=\"font-weight: bold; \">Highly functional:</span> NoSQL databases provide highly functional APIs and data types that are purpose built for each of their respective data models.</li></ul>\r\n<span style=\"font-weight: bold;\">What are the types of NoSQL Databases?</span>\r\n<ul><li><span style=\"font-weight: bold;\">Key-value:</span> Key-value databases are highly partitionable and allow horizontal scaling at scales that other types of databases cannot achieve. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model.</li><li><span style=\"font-weight: bold;\">Document:</span> In application code, data is represented often as an object or JSON-like document because it is an efficient and intuitive data model for developers. Document databases make it easier for developers to store and query data in a database by using the same document model format that they use in their application code. The flexible, semistructured, and hierarchical nature of documents and document databases allows them to evolve with applications’ needs. The document model works well with catalogs, user profiles, and content management systems where each document is unique and evolves over time.</li><li><span style=\"font-weight: bold;\">Graph:</span> A graph database’s purpose is to make it easy to build and run applications that work with highly connected datasets. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.</li><li><span style=\"font-weight: bold;\">In-memory:</span> Gaming and ad-tech applications have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Amazon ElastiCache offers Memcached and Redis, to serve low-latency, high-throughput workloads, such as McDonald’s, that cannot be served with disk-based data stores.</li><li><span style=\"font-weight: bold;\">Search:</span> Many applications output logs to help developers troubleshoot issues.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Nonrelational_Database_Management_Systems1.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}},"aliases":{"1":["amazon-relational-database-service-rds","delphix-data-virtualization","ibm-watson-explorer","microsoft-sql-server","oracle-database-cloud-service","oracle-database-enterprise-edition","oracle-enterprise-manager","oracle-identity-and-access-management-idm","pentaho-data-integration","redis"]},"links":{"first":"http://apis.roi4cio.com/api/products?page=1","last":"http://apis.roi4cio.com/api/products?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://apis.roi4cio.com/api/products","per_page":20,"to":10,"total":10},"loading":false,"error":null,"useProductLoading":false,"sellProductLoading":false,"templatesById":{},"comparisonByTemplateId":{}},"filters":{"filterCriterias":{"loading":false,"error":null,"data":{"price":{"min":0,"max":6000},"users":{"loading":false,"error":null,"ids":[],"values":{}},"suppliers":{"loading":false,"error":null,"ids":[],"values":{}},"vendors":{"loading":false,"error":null,"ids":[],"values":{}},"roles":{"id":200,"title":"Roles","values":{"1":{"id":1,"title":"User","translationKey":"user"},"2":{"id":2,"title":"Supplier","translationKey":"supplier"},"3":{"id":3,"title":"Vendor","translationKey":"vendor"}}},"categories":{"flat":[],"tree":[]},"countries":{"loading":false,"error":null,"ids":[],"values":{}}}},"showAIFilter":false},"companies":{"companiesByAlias":{},"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":{"46":{"id":46,"title":"IAM - Identity and Access Management"}},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}