We’ve been busy shipping some powerful updates across GX to make data quality easier, smarter, and more actionable. From expanded coverage insights to anomaly detection and new data source support, there’s a lot to explore this month.
Here’s what’s new:
Coverage Metrics just got smarter
Last month, we introduced Coverage Metrics, a new way to instantly assess your data assets' level test of coverage. This month, we’ve taken it further.
Spot assets with low coverage and take action directly from the table view
New filtering and sorting help you zero in on what matters most
Quickly see which assets are missing expectations or haven’t been validated in 30+ days
It's never been easier to understand and improve your test coverage in GX Cloud.
New: Data Completeness anomaly detection
Now, you can automatically catch unexpected drops in data completeness—no need to set thresholds manually. GX Cloud users can detect completeness anomalies with just one click.
GX Cloud uses historical patterns to detect sudden changes in missing values, allowing you to catch issues before they cause downstream trouble.
Want to learn more? Check out this blog
GX Core updates
Bug fixes & enhancements:
Improved support for sqlite and sqlalchemy metric logic
Added support for dialect-specific logic in Execution Engines
Enhanced accuracy of distinct values expectations for dates/datetimes
SQLite now has a dedicated standard deviation metric
See the full changelog
Upcoming workshop: Get hands-on with GX Cloud
Getting started with GX Cloud
Tuesday April 22, 6am PT | 9am ET
Join us live to walk through all the latest GX features, including smarter expectations, easier coverage management, and better ways to validate your data.
