Table of Contents

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  1. Preface
  2. Introduction
  3. Accessing Data Archive
  4. Working with Data Archive
  5. Scheduling Jobs
  6. Viewing the Dashboard
  7. Creating Data Archive Projects
  8. Salesforce Archiving
  9. SAP Application Retirement
  10. Creating Retirement Archive Projects
  11. Retention Management
  12. External Attachments
  13. Data Archive Restore
  14. Data Discovery Portal
  15. Data Visualization
  16. Oracle E-Business Suite Retirement Reports
  17. JD Edwards Enterprise Retirement Reports
  18. Oracle PeopleSoft Applications Retirement Reports
  19. Smart Partitioning
  20. Smart Partitioning Data Classifications
  21. Smart Partitioning Segmentation Policies
  22. Smart Partitioning Access Policies
  23. Language Settings
  24. Data Vault Datatype Conversion
  25. Special Characters in Data Vault
  26. SAP Application Retirement Supported HR Clusters
  27. Glossary

Smart Partitioning Data Classifications Overview

Smart Partitioning Data Classifications Overview

A data classification is a policy composed of segmentation criteria such as dimensions. You create data classifications to apply consistent segmentation criteria to a segmentation group.
Before you run the segmentation policy, you must create a data classification and assign a segmentation group to the data classification. Depending on how you want to create segments, you add one or more dimensions to a data classification.
After you add dimensions to a data classification, create dimension slices for each dimension in the data classification. Dimension slices specify how the data for each dimension is organized. When you run the segmentation policy, the ILM Engine uses native database partitioning methods to create a segment for each dimension slice in the data classification.
You can assign multiple segmentation groups to the same data classification. If the segmentation groups are related, such as order management and purchasing, you might want to apply the same segmentation criteria to both groups. To ensure that the ILM Engine applies the same partitioning method to both segmentation groups, assign the groups to the same data classification.
Data classifications are specific to a source connection.

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