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. 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. Connections
  17. Data Type Reference
  18. Function Reference

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.


Updated January 20, 2020