GX Cloud
Data quality at a glance
Data quality and observability aren’t just checkboxes; they represent the foundation for trust in your data. With GX Cloud’s new Coverage Metrics, you can instantly assess the health of your data assets and take meaningful action to improve them.
Our new metrics system translates intricate data quality assessments into straightforward, actionable insights. Check out what’s new:
Active coverage score: combines Expectation coverage with recent validation activity, helping you instantly gauge data health.
Track validation activity: see what percentage of your assets have been validated in the past 30 days, making it easy to spot neglected data sources.
Coverage scores: break down coverage across schema, volume, and completeness, highlighting exactly where improvements are needed.
Asset-level: zoom in on specific tables to understand their status and ensure they meet your coverage goals.
These insights are available the moment you log in—no digging required. We make data quality tracking a seamless part of your workflow by embedding them directly into Data Assets list views and individual Data Assets pages.
And this is just the beginning. These metrics will evolve alongside your data, with future updates bringing even more visibility through a dedicated coverage dashboard with advanced analytics.
Volume change detection
Keeping up with data changes just got easier. Now, GX Cloud automatically detects schema and volume changes on selected assets.
With these options enabled by default, GX Cloud ensures your Expectations evolve with your data. The new volume selector dynamically creates an ExpectTableRowCountToBeBetween Expectation, adjusting parameters to match expected growth between validation runs.
Want to learn more? Check out the full details in our documentation
GX Core
GX Airflow provider now Available for GX Core 1.3.9+
Integrating data validation into your Airflow workflows just got easier! The GX Airflow provider, maintained by Astronomer, enables teams to embed data quality checks directly within their DAGs, preventing bad data from flowing downstream. With three distinct operators—tailored for in-memory validation, external systems, and full validation workflows—you can choose the right approach for your data. Plus, with built-in persistence and alerting capabilities, debugging and issue identification become proactive rather than reactive.
Ready to make data validation a core part of your pipeline? Learn more here
Metrics API
Say goodbye to rigid, difficult-to-use metrics computing methods. This update enables ad hoc calculations for key metrics like mean while ensuring stable metric IDs for consistency.
With a cleaner, more reliable API, users can effortlessly expand metrics, reduce setup time, and focus on what matters, getting insights faster.
GX events
How to detect duplication & trust your data more
Tuesday Mar 18, 9am PT | 12pm ET
Data duplication can sneak into your pipelines and erode trust in your decisions. Let’s fix that.
Join Nevin Tan, GX Senior Developer Advocate, for a quick 25-minute session where he’ll cover:
How to detect duplicates in tables & rows
Common causes of duplication
Best practices for collaborating when it happens
Don’t let duplicate data trip you up! Save your seat now
Getting started with GX Cloud workshop
Tuesday Feb 25, 6am PT | 9am ET
In this workshop, you’ll learn everything you need to get your data quality process up and running. Smarter rules, less effort—Expectations just got a major upgrade with intelligent pattern detection, streamlined management, and precise controls to help you ensure data quality with ease.
