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Pentaho Data Integration
EASE OF USE WITH THE POWER TO INTEGRATE ALL DATA
Intuitive drag-and-drop data integration coupled with data agnostic connectivity spanning from flat files and RDBMS to Hadoop and beyond.
Graphical extract-transform-load (ETL) designer to simplify the creation of data pipelines
Rich library of pre-built components to access, prepare, and blend data from relational sources, big data stores, enterprise applications, and more
Powerful orchestration capabilities to coordinate and combine transformations, including notifications and alerts
Agile views for modeling and visualizing data on the fly during the data preparation process
Integrated enterprise scheduler for coordinating workflows and debugger for testing and tuning job execution
BIG DATA INTEGRATION WITH ZERO CODING REQUIRED
Pentaho's intuitive toolset accelerates the design and deployment of big data analytics by up to 15 times compared to hand-coding techniques.
Complete visual big data integration tools eliminate manual programming and scripting from the process
Deep integration and the Adaptive Big Data Layer accelerate access to the latest versions and capabilities of popular big data stores
Robust support for Hadoop distributions, Spark, NoSQL data stores and analytic databases
Empowers users to architect big data blends at the source, and stream them directly for more complete and accurate analytics
Integrate advanced analytic models from R, Python, and Weka to operationalize predictive models, while reducing data prep time
BRINGING ANALYTICS INTO DATA PREP
Pentaho is the only vendor on the market to deliver a visual data experience from anywhere in the data pipeline, with a single platform.
Access any analytics, including charts, visualizations, and reporting, from any step in data prep– shortening the cycle from data to analytics
ETL developers and data prep staff can easily spot check analytics in-flight
Directly publish data sources for the business user, creating a more collaborative process between business and IT
Data services to virtualize transformations without staging, making data sets immediately available to reports and applications
Set up a self-service data prep environment with governed, on-demand data sets.