What it is

the gold standard for "Data Observability" to prevent data downtime and errors

What its ring means

Now: Proven and adopted for production use.

Use cases

• Data Observability: Proactively monitoring data pipelines to detect "data downtime" like missing records or schema changes.
• Data Lineage Tracking: Visualizing how data moves from source to dashboard to identify the root cause of quality issues.
• Anomaly Detection: Using ML to alert data teams when metrics deviate from expected patterns or historical trends

From the center

Glossary terms matched to this item, and the center pillars it serves.