Table of Contents

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  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

Blaze Engine High Availability

Blaze Engine High Availability

The Blaze engine is a highly available engine that determines the best possible recovery strategy for grid tasks and tasklets.
Based on the size of the grid task, the Blaze engine attempts to apply the following recovery strategy:
  • No high availability. The Blaze engine does not apply a recovery strategy.
  • Full restart. Restarts the grid task.


Updated October 23, 2019