Table of Contents

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  1. Preface
  2. Analyst Service
  3. Catalog Service
  4. Content Management Service
  5. Data Integration Service
  6. Data Integration Service Architecture
  7. Data Integration Service Management
  8. Data Integration Service Grid
  9. Data Integration Service Applications
  10. Interactive Data Preparation Service
  11. Enterprise Data Preparation Service
  12. Informatica Cluster Service
  13. Mass Ingestion Service
  14. Metadata Access Service
  15. Metadata Manager Service
  16. Model Repository Service
  17. PowerCenter Integration Service
  18. PowerCenter Integration Service Architecture
  19. High Availability for the PowerCenter Integration Service
  20. PowerCenter Repository Service
  21. PowerCenter Repository Management
  22. PowerExchange Listener Service
  23. PowerExchange Logger Service
  24. SAP BW Service
  25. Search Service
  26. System Services
  27. Test Data Manager Service
  28. Test Data Warehouse Service
  29. Web Services Hub
  30. Application Service Upgrade
  31. Appendix A: Application Service Databases
  32. Appendix B: Connecting to Databases from Windows
  33. Appendix C: Connecting to Databases
  34. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

In Separate DTM Processes on Remote Nodes

In Separate DTM Processes on Remote Nodes

To run DTM instances in separate DTM processes on remote nodes, configure the Data Integration Service to launch jobs in separate remote processes. Configure DTM instances to run in separate DTM processes on remote nodes when the Data Integration Service runs mapping, profile, and workflow jobs on a grid where nodes can have a different combination of roles.
When the Data Integration Service runs jobs in separate remote processes, stability increases because an unexpected interruption to one job does not affect all other jobs. In addition, you can better use the resources available on each node in the grid. When a node has the compute role only, the node does not have to run the service process. The machine uses all available processing power to run mappings.
The following image shows two of many nodes in a Data Integration Service grid. Node1 has the service role, and Node2 has the compute role. The Data Integration Service process on Node1 manages application deployments, logging, job requests, and job optimizations. The Service Manager on Node2 runs DTM instances in separate DTM processes started within containers.
Node1 has the service role and runs the master Data Integration Service process. Node 2 has the compute role and includes 2 containers. A DTM process with multiple DTM instances runs in each container.