Pentaho Data Integration
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Pentaho Data Integration

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.

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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 codings required


Checkout Pentaho Tutorial

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, 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


Accessible data PREP for  a Wider Audience

Deliver governed, on-demand data to analysts and end-users in an agile fashion.
  • Seamless self-service data integration solutions for blending and enriching vast volumes of highly diverse data
  • Ability to provide business user access to reliable, governed data with limited support from IT
  • Automatic creation and publishing of metadata models to drive faster analytic results
  • Data services to virtualize transformations without staging, making data sets immediately available to reports and applications
  • Integration of advanced analytic models from R, Python, and Weka to operationalize predictive intelligence while reducing data prep time.


Accelerating the data pipeline

Go beyond standard ETL to scalable and flexible management for end-to-end data flows.
  • Dynamic and reusable data integration templates that drive massive time savings through dynamically creating transformations on the fly
  • Multi-threaded data integration engine architected to scale up and out, including deployment to clustered and cloud environments
  • Robust administration features including performance monitoring, job roll-back and restart, and an operations mart for usage auditing
  • Enterprise-grade security including access and version controls as well as LDAP and Active Directory integration
  • Data quality and enrichment plug-ins from partner Melissa Data promote enhanced data management.

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