Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Data Sets
  13. Plans and Workflows
  14. Monitor
  15. Reports
  16. ilmcmd
  17. tdwcmd
  18. tdwquery
  19. Data Type Reference
  20. Data Type Reference for Test Data Warehouse
  21. Data Type Reference for Hadoop
  22. Glossary

Data Sets Overview

Data Sets Overview

A data set is a collection of data that consists of one or more tables from a data source. Manage and store multiple versions of data sets in the test data mart.
Tables in a data set can be from a single data source or from multiple data sources. A data set generally corresponds to one or more test cases. You can create data sets based on the test cases that you want to run, and store them in the test data mart. You can create a data set from TDM when you perform one or more of the following tasks:
  • Create a subset of production data.
  • Create a masked copy of production data.
  • Generate data.
To create a data set, select the test data warehouse as the target when you create a plan. You can then add tags and other metadata information to the data set. Metadata includes the source table metadata and plan metadata. You can search the test data mart based on the metadata properties.
Run the plan to create the data set. You can create multiple versions of a data set. View the list of data sets and the properties in the
Data Sets
view.
To share data sets with other users in a domain, multiple machines that host a Test Data Manager Service can connect to a single test data mart. You can use a single test data mart to share and reuse data sets across teams and projects.
During the process of testing, test data might change. Test data can get corrupted. You can return a test environment to a specific previous state when you reset a data set version from the test data mart to the required connection.
For example, consider a situation where test teams run multiple test cases, or when multiple test teams work on an application. Store the original test data as a data set in the test data mart. When one test team completes testing, create another version of the data set with the modified test data. You can then reset the original test data from the test data mart to the test environment. You can reset any data set version to return the test environment to the required state.
Before you create a data set, you must configure the test data repository and the test data mart.