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 REST API
  10. Data Integration Service Applications
  11. Data Privacy Management Service
  12. Enterprise Data Preparation Service
  13. Interactive Data Preparation Service
  14. Informatica Cluster Service
  15. Mass Ingestion Service
  16. Metadata Access Service
  17. Metadata Manager Service
  18. Model Repository Service
  19. PowerCenter Integration Service
  20. PowerCenter Integration Service Architecture
  21. High Availability for the PowerCenter Integration Service
  22. PowerCenter Repository Service
  23. PowerCenter Repository Management
  24. PowerExchange Listener Service
  25. PowerExchange Logger Service
  26. SAP BW Service
  27. Search Service
  28. System Services
  29. Test Data Manager Service
  30. Test Data Warehouse Service
  31. Web Services Hub
  32. Application Service Upgrade
  33. Appendix A: Application Service Databases
  34. Appendix B: Connecting to Databases from Windows
  35. Appendix C: Connecting to Databases from UNIX or Linux
  36. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Application Service Guide

Application Service Guide

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.

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