2024.2 Release Notes

Validatar has a new release! From major updates to minor bug fixes, we’re constantly working to improve your Validatar experience so you can continue to build trust in your data. Learn about what’s new below.

What’s New!

Rerun Failed/Errored Tests in Job

Sometimes a temporary condition in the test or control data sources can cause a subset of tests within a job to fail. Users can now easily re-run just the failed/errored tests from within the Job Result page.
* Benefit: Instead of finding and running each failed test manually, users can now easily rerun all failed tests within a given job result.

Gain Insights with Test Quality Dimension and Severity Level

• Standard Tests and Template Tests now contain two new fields: Quality Dimension and Severity Level. These fields allow users to group tests into quality dimension and severity level categories, which can be used to provide enhanced summary-level reporting.
  • Benefit: Assigning a severity level to a test allows the review/correction of test failures to be prioritized based on severity. Reviewing the tests assigned to each quality dimension can identify potential gaps in testing.

Profiling Python Data Sources

• Users can now write scripts to profile Python data sources. Previously, profiling was only supported for database data sources, but starting with this release, profile script templates can be added to a Python Data Source Template and be applied to Python data sources to populate profile values.
  • Benefit: Executing a single script to load multiple profile values across the various schema/table/column levels for Python data sources reduces the overhead of running the Python script multiple times. The Python profile script can also return technical metadata, which allows new metadata objects to be created as part of the profiling operation.

Activity Overview Dashboard

• A new Activity Overview Dashboard in the Reports section allows users to view activity at a monthly, quarterly, or rolling period grain and compare with prior reporting periods.
  • Benefit: Improved visibility into how Validatar is currently being utilized can highlight unused functionality that could provide additional value.

Highlighted Enhancements

• The following new API endpoints have been added to the Authoring endpoint:
  • Create/Get Project
  • Create/Get Data Source
  • Get Data Processing Engines
  • Get Data Source Templates
  • Get Data Environments
  • Get Data Agent Groups
  • Export/Import Tests/Jobs
• Test lists now use a different icon for materialized vs standalone tests to make it easy to differentiate between the two types of standard tests.

Bug Fixes

• Corrected a bug where metadata link extraction for a test failed when schema/table/column names contained certain non-alphanumeric characters.
• Corrected an issue where a template test could have the same name as a standard test in the same folder.
• Enhanced SSO behavior related to archived users and added additional control around when new user accounts are automatically created during SSO.
• Fixed a bug causing an error with report subscriptions when the report has a child-level filter.
• Fixed a mismatch in how the Missing Key settings are applied in the built-in engine vs the Snowflake engine.
• When creating a job, the "Tests (By Data Sources)" selection now filters to only include tests in the current project.