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Test Author Guide
This guide describes how to create and edit test assets in HCL DevOps Test Hub (Test Hub), and then publish test assets to the remote Git repository that you have configured in your project. This guide is intended for testers and test managers.
Prerequisites for working with Datasets and Data definition
You can find information about the tasks that you need to perform before you work with datasets and Data definitions in HCL DevOps Test Hub (Test Hub).

Test Author Guide
This guide describes how to create and edit test assets in HCL DevOps Test Hub (Test Hub), and then publish test assets to the remote Git repository that you have configured in your project. This guide is intended for testers and test managers.
- Edit branch overview
  When you want to create or modify a test resource in HCL DevOps Test Hub (Test Hub), you must use an Edit branch. An Edit branch is a temporary branch of the branch in the project repository into which you want to add the created resource or edited resource.
- Data overview
  When you want to create realistic test scenarios that can simulate real-world or practical situations, you can use the data fabrication feature in HCL DevOps Test Hub (Test Hub) to fabricate test data. You can also create or edit datasets that pass variable data to tests at test run time.
- Prerequisites for working with Datasets and Data definition
  You can find information about the tasks that you need to perform before you work with datasets and Data definitions in HCL DevOps Test Hub (Test Hub).
  - Management of classifications
    You can find information about creating, editing, deleting, and granting access to a classification in HCL DevOps Test Hub (Test Hub).
  - Management of database connections
    You can add a database connection to a project and import the data from an external database in HCL DevOps Test Hub (Test Hub).
  - Management of database query
    You can find information about creating, editing, duplicating, and deleting the database query in HCL DevOps Test Hub (Test Hub).
- Working with Datasets on DevOps Test Hub
  You can find information about creating datasets in HCL DevOps Test Hub (Test Hub), applying a dataset classification, editing datasets, and managing datasets that are in your project repository.
- Data fabrication
  Test data is the core component of any application testing. It is very time-consuming to create test data manually. You can use the data fabrication feature in HCL DevOps Test Hub (Test Hub) to create realistic datasets for comprehensive testing scenarios. The feature provides data fabrication capabilities that can help you to generate synthetic data quickly and efficiently without the risk of data leaks or privacy issues.

Prerequisites for working with Datasets and Data definition

You can find information about the tasks that you need to perform before you work with datasets and Data definitions in HCL DevOps Test Hub (Test Hub).

Management of classifications

You can create a classification and provide access only for the required members of a project in Test Hub. You can add the encrypted datasets, restricted database connections, or API secrets that you create in a project to the classification and ensure that it can be accessed and used only by the members who have access to the classification. See Management of classifications.

Management of database connections

You can import the data that you have in an external database that can be used to create the test assets such as datasets and Data definitions in Test Hub.

You can establish and manage connections with the following external databases in Test Hub:

Oracle
PostgreSQL
IBM DB2

See Management of database connections.

Management of database queries

You can create a database query to import the data that is present in an external database, after you establish a connection with the external database. You can query the required data from a database when you create a database query to import the useful data present in your existing databases to create the test assets. See Management of database query.