Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference



Follow the instructions in the Informatica
Big Data Management
User Guide
to learn to create Informatica mappings that read data from cloud or on-premises data sources, perform calculations and transformation on the data in a native, Hadoop or Databricks environment, and write results to S3, HDFS, Hive, Azure data lake, or other data store formats. Learn to configure mappings to run using the Spark engine or the proprietary Blaze engine. Learn to create workflows that deploy several mappings to a cluster.


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