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  • Common Content for Data Engineering 10.2.2 Service Pack 1
  • All Products

Table of Contents

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  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

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Deploy and Run the Workflow

Deploy and Run the Workflow

After you complete the cluster workflow, deploy and run the workflow.
You can monitor AWS and Azure cluster workflows on the web console. If you configured a log location, view the logs at the location that you configured in the Create Cluster task properties.
You can monitor Databricks cluster workflows on the Databricks workspace.
You can also monitor Data Integration Service jobs in the Administrator tool.
After the workflow begins executing tasks, the task to provision the cluster may take several minutes.
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