Demo Dive Series
Data teams spend countless hours chasing down broken pipelines, unexpected anomalies, and downstream reporting issues. What if data observability were built directly into the platform where your data is developed, governed, and operated?
In this Demo Dive, we’ll introduce Coalesce Quality, the new observability capability embedded in the Coalesce data operating layer alongside Transform and Catalog. See how teams can automatically monitor critical data assets, detect unexpected data issues in real time, and investigate incidents with full lineage and metadata context—without stitching together multiple tools.
Join us for a hands-on walkthrough of how built-in data observability helps teams detect issues sooner, resolve them faster, and deliver more reliable data products.
You’ll learn how to:
- Automatically deploy monitoring across critical assets using catalog-driven monitoring blueprints
- Detect hidden data issues using both SQL-based tests and time-series anomaly detection
- Quickly identify root causes with lineage-aware monitoring across upstream pipelines
- Surface real-time data health in the catalog so data consumers can trust what they use
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