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. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

Projects Overview

Projects Overview

A project is the top-level container that you use to organize the components for data discovery, masking, and subset operations.
The following image shows a project in Test Data Manager:
The project contains the Overview, Discover, Define, Execute, Monitor, and Permissions views. In the Overview view, you can view the Properties view or the Policies view. The image shows the Properties view. The properties view contains information about who created the project and when. It shows the status for discovery, masking, subset, and generation activities. The Data Sources view is in the bottom of the Overview view. It contains the name, type, and description for each data source in the project. You can create and manage parameters from the Parameters view.
A project contains the following views:
Overview
Edit the project general properties in the
Properties
view. Add policies and rules to the project in the
Policies
view. In the
Data Sources
view, import data sources to a project for data discovery, data subset, and data masking operations. You can import a source from the Model repository, or you can import a source from a database. You can import multiple types of sources to the same project and define relationships between them.
Discover
Discover the data domains in the source data.
Define
Define data masking and data subset operations. When you define a data masking operation, assign the rules and policies to columns in the project source. When you need to create a data subset, define groups.
Execute
Define a data subset or data masking plan. Generate and run a workflow from the plan.
Monitor
View the status of data source import jobs, profiling jobs, workflow generation jobs, data subset jobs, and data masking jobs. You can refresh and abort a job. You can abort, stop, and recover a workflow. You can remove a job that is scheduled to run at a later time.
Permissions
Apply the user group and the user permission to projects. When you create a project, you are the project owner and have access to the project. If other users need access to the project, you can add the users in the
Permissions
view. Apart from permission on a specific project, users need the minimum required privileges to access or perform any tasks on the project.