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Overview of Data Quality

With Collate, you can build trust in your data by creating tests to monitor that the data is complete, fresh, and accurate. Collate supports data quality tests for all of the supported database connectors. Users can run tests at the table and column levels to verify their data for business as well as technical use cases. Collate provides Data Quality workflows, which helps with:
  • Native tests for all database connectors to run assertions.
  • Alerting system to send notifications on test failure.
  • Health dashboard to track realtime test failure and to prioritize efforts.
  • Resolution workflow to inform the data consumer on test resolutions.
The data quality in Collate is also extensible to adapt to your needs. Profiler & Data Quality Watch the video to understand Collate’s native Data Profiler and Data Quality tests.
Watch the video on Data Quality Simplified to effortlessly build, deploy, monitor, and configure alerts using Collate’s no-code platform
Here’s the latest on Collate’s data quality.

Data Quality Tab

Get a complete picture of the Data Quality details.

Write and Deploy No-Code Test Cases from the UI

Verify your data quality with table and column level tests.

Configure Data Quality

Configure and run data quality pipelines with the built-in tests in Collate.

Tests - YAML Config

Learn how to configure data quality tests in the YAML config file.

UI Config

Learn how to configure data quality tests in the UI.

Custom Tests

Write your own data quality tests and test suites.