Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Big Data Management Tasks

Big Data Management Tasks

Use Big Data Management when you want to access, analyze, prepare, transform, and stream data faster than traditional data processing environments.
You can use Big Data Management for the following tasks:
  • Read from and write to diverse big data sources and targets.
  • Perform data replication on a Hadoop cluster.
  • Perform data discovery.
  • Perform data lineage on big data sources.
  • Stream machine data.
  • Manage big data relationships.
The
Informatica Big Data Management User Guide
describes how to run big data mappings in the native environment or the Hadoop environment. For information on specific license and configuration requirements for a task, refer to the related product guides.


Updated December 13, 2018