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

Content Management Service Overview

Content Management Service Overview

The Content Management Service is an application service that manages reference data. It provides reference data information to the Data Integration Service and to the Developer and Analyst tools. A master Content Management Service maintains probabilistic model and classifier model data files across the domain.
The Content Management Service manages the following types of reference data:
Address reference data
You use address reference data when you want to validate the postal accuracy of an address or fix errors in an address. Use the Address Validator transformation to perform address validation.
Identity populations
You use identity population data when you want to perform duplicate analysis on identity data. An identity is a set of values within a record that collectively identify a person or business. Use a Match transformation or Comparison transformation to perform identity duplicate analysis.
Probabilistic models and classifier models
You use probabilistic or classifier model data when you want to identify the type of information that a string contains. Use a probabilistic model in a Parser or Labeler transformation. Use a classifier model in a Classifier transformation. Probabilistic models and classifier models use probabilistic logic to identify or infer the type of information in the string. Use a Classifier transformation when each input string contains a significant amount of data.
Reference tables
You use reference tables to verify the accuracy or structure of input data values in data quality transformations.
The Content Management Service also compiles rule specifications into mapplets.
Use the Administrator tool to administer the Content Management Service. Recycle the Content Management Service to start it.

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