Welcome to Data Testing
Data Testing is a tool for data quality assurance, enabling both cross-source comparisons and internal validations to maintain reliable and accurate data.
Jobs
A Job is a task configuration that defines what data should be validated, how the validation is executed, and which rules or data sources are involved. Jobs allow you to automate, monitor, and maintain data quality efficiently within the Data Testing platform.
The platform supports two primary job types:
Compare Job – Validate differences between two data sources. Ideal for migrations, synchronization checks, and ensuring both systems remain consistent.
Evaluate Job – Perform in-depth validations on a single data source. Useful for schema checks, constraints, data profiling, quality rules, and custom logic.
To create new jobs, view saved jobs, edit configurations, schedule job runs, and monitor execution history, visit the Manage Jobs section.
Data Sources
The platform supports a wide variety of data source connectors, each requiring specific configuration details such as host information, credentials, queries, or access keys.
Click the respective connector type below to learn how to configure the data source:
Available Connectors
Functions
Functions help you transform and preprocess column data before running validations or comparisons. They are especially useful for:
Cleaning and refining raw data
Applying custom logic to columns
Standardizing data formats across sources
Learn More
Reports
Navigate to Jobs History to view the results of your completed jobs:
Users can only view reports for jobs with the Completed status.
Click on any completed job to view its detailed report:
🙌 Thank You
Thank you for choosing Data Testing as your go-to platform for data validation workflows. Explore the complete documentation to take full control of your data quality management!
Last updated