Table of Contents

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

User Guide

User Guide

Preface

Preface

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.

Updated September 17, 2019


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