Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Stream Machine Data

Stream Machine Data

You can stream machine data in real time. To stream machine data, use Informatica Edge Data Streaming.
Edge Data Streaming is a highly available, distributed, real-time application that collects and aggregates machine data. You can collect machine data from different types of sources and write to different types of targets. Edge Data Streaming consists of source services that collect data from sources and target services that aggregate and write data to a target.
For more information, see the
Informatica Vibe Data Stream for Machine Data User Guide

Updated October 23, 2019