Data Observability Toolkit for Data Teams

Learn to detect data issues early, trace every issue to the source, and control pipeline cost and performance.

Your stakeholders shouldn’t be the ones telling you the numbers look wrong. Datadog enables data teams to proactively detect data issues across the full data lifecycle, from ingestion to AI and analytics.

This kit provides you with instant access to resources that help you catch pipeline failures before stakeholders do, pinpoint root causes faster, and optimize the cost and performance of your data platform.

Gain access to:

• Blog posts covering data lineage fundamentals and dbt best practices, including how to use OpenLineage to surface transformation issues before they reach production
• Product overview detailing how Quality Monitoring catches bad data in your warehouse before it impacts BI dashboards or AI outputs
• Product overview detailing how Jobs Monitoring surfaces failed and long-running jobs across technologies like Databricks, Spark, Airflow, and dbt — with step-level visibility into why something broke and recommendations to optimize code, queries, and clusters