Configuring and Customizing Test Data

Here, the demonstrator explains how the application uses machine learning to infer correlations within the data - like age and marital status - and allows manual configuration of domain values, ranges, and skews. The section shows how users can inject logic (e.g., column A + column B = column C) or define synthetic values using Python code. This flexibility ensures realistic and controlled test datasets tailored to specific test cases or validation scenarios.

Key Moments (Timestamps):

00:00:05 - Introduction to Data Masking and Use Cases
00:00:15 - Viewing Masked Sample Records
00:00:24 - Using Machine Learning for Data Generation
00:00:36 - Understanding Data Correlations (e.g., Age and Marital Status)
00:01:04 - Automatic Correlation Detection by TDM
00:01:10 - Manual Configuration of Data Correlations
00:01:23 - Controlling Data Skewness
00:01:38 - Defining Foreign Keys and Data Relationships
00:01:46 - Customizing Domain Values (e.g., Geography Keys)
00:02:19 - Contact Information and Free Demo

📧 Contact Us: contact@datagaps.com
🌐 Free Demo: Scan the QR code in the video!
*Test Data Manager* - Maintain data privacy by generating realistic synthetic data using Gen AI
A Top-Notch Test Data Management Tool - https://www.datagaps.com/test-data-manager/
*Start a Free Trial* - https://www.datagaps.com/test-data-manager-trial-request/

🎬 *Video Highlights:*

► Check out - Overview of Test Data Manager Tool - https://www.youtube.com/watch?v=VR83iu_yWK8
► Check out - Configuring and Customizing Test Data - https://www.youtube.com/watch?v=Sjzxql8FqcQ
► Check out - Generation, Deployment, and Integration - https://www.youtube.com/watch?v=I6_fwoB90-Y

Видео Configuring and Customizing Test Data канала Datagaps