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

Data Integration Service Architecture Overview

Data Integration Service Architecture Overview

The Data Integration Service receives requests to run data transformation jobs from client tools. Data transformation jobs include mappings, previews, profiles, SQL queries to an SQL data service, web service operation mappings, and workflows. The Data Integration Service connects to other application services, databases, and third-party applications to access and transform the data.
To perform data transformation jobs, the Data Integration Service starts the following components:
Data Integration Service process
The Data Integration Service starts one or more Data Integration Service processes to manage requests to run jobs, application deployment, job optimizations, and data caches. Multiple service components run within a Data Integration Service process. Each service component performs a specific function to complete a data transformation job.
DTM instance
The Data Integration Service starts a DTM instance to run each job. A DTM instance is a specific, logical representation of the execution Data Transformation Manager (DTM). The DTM is the compute component of the Data Integration Service that runs jobs.
The Data Integration Service can run on a single node or on a grid. A grid is an alias assigned to a group of nodes that run jobs. When you run a job on a grid, you improve scalability and performance by distributing jobs to processes running on multiple nodes in the grid.