Demo Dive Series
Most data teams have ended up with one tool for transformations, another for cataloguing, and a third for observability. The seams between them are where issues hide, and where engineering hours disappear chasing context across half a dozen tabs.
In this Demo Dive, we’ll introduce Coalesce Quality, the observability capability built directly into the Coalesce data operating layer alongside Transform and Catalog. See how teams can automatically monitor critical data assets, detect unexpected issues in real time, and investigate incidents with full lineage and metadata context – without stitching multiple tools together.
Join us for a hands-on walkthrough of how built-in observability helps teams detect issues sooner, resolve them faster, and deliver more reliable data products to the business.
You’ll learn how to:
- Automatically deploy monitoring across critical assets using catalogue-driven monitoring blueprints
- Detect hidden data issues using SQL-based tests and time-series anomaly detection
- Identify root causes quickly with lineage-aware monitoring across upstream pipelines
- Surface real-time data health inside the Catalog so consumers can trust what they use
Instructors
