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.