An explanation of the common uses and key benefits of PDI.
Pentaho Data Integration (PDI) is an extract, transform, and load (ETL) solution that uses an innovative metadata-driven approach.
PDI includes the DI Server, a design tool, three utilities, and several plugins.
Pentaho Data Integration is an extremely flexible tool that addresses a broad number of use cases including:
- Data warehouse population with built-in support for slowly changing dimensions and surrogate key creation
- Data migration between different databases and applications
- Loading huge data sets into databases taking full advantage of cloud, clustered, and massively parallel processing environments
- Data Cleansing with steps ranging from very simple to very complex transformations
- Data Integration including the ability to leverage real-time ETL as a data source for Pentaho Reporting
- Rapid prototyping of ROLAP schemas
- Hadoop functions: Hadoop job execution and scheduling, simple Hadoop MapReduce design, Amazon EMR integration
Pentaho Data Integration features and benefits include:
- Installs in minutes; you can be productive in one afternoon
- 100% Java with cross platform support for Windows, Linux, and Macintosh
- Easy to use graphical designer with over 100 out-of-the-box mapping objects including inputs, transforms, and outputs
- Simple plug-in architecture for adding your own custom extensions
- Enterprise Data Integration server providing security integration, scheduling, and robust content management including full revision history for jobs and transformations
- Integrated designer (Spoon) combining ETL with metadata modeling and data visualization, providing the perfect environment for rapidly developing new Business Intelligence solutions
- Streaming engine architecture provides the ability to work with extremely large data volumes
- Enterprise-class performance and scalability with a broad range of deployment options including dedicated, clustered, and/or cloud-based ETL servers