The Data Versioning mode enables saving backup versions (snapshots) of data during Functional tests and to then reload the latest saved version to the target environment, if needed. Once created, an extract task can be executed multiple times to create different data versions where each version is saved in Fabric.
This functionality is useful when running a complex testing calendar in a testing environment. Backing up data every X steps or every X times enables testers to reload the latest version to their environment and repair data without returning to the original state and losing their updates.
Note that the testing environment is often used as a source and target environment for Data Versioning tasks. Therefore, the Environment Type must be set to Both to enable Data Versioning in an environment.
Check the Data Versioning checkbox in the Additional Execution Parameters tab of the task window.
The following users can create a Data Versioning task:
The Data Versioning mode enables saving backup versions (snapshots) of data during Functional tests and to then reload the latest saved version to the target environment, if needed. Once created, an extract task can be executed multiple times to create different data versions where each version is saved in Fabric.
This functionality is useful when running a complex testing calendar in a testing environment. Backing up data every X steps or every X times enables testers to reload the latest version to their environment and repair data without returning to the original state and losing their updates.
Note that the testing environment is often used as a source and target environment for Data Versioning tasks. Therefore, the Environment Type must be set to Both to enable Data Versioning in an environment.
Check the Data Versioning checkbox in the Additional Execution Parameters tab of the task window.
The following users can create a Data Versioning task: