Introducing Data Quality in Astro Observe: The Orchestration-First Approach to Reliable Data

At Astronomer, they're introducing enhanced data quality monitoring in Astro Observe, now available in private preview, which embeds quality checks directly into the orchestration platform to deliver unparalleled contextual awareness. Unlike traditional tools that monitor data downstream and lack an understanding of how or when that data was produced, Astro Observe provides a unified experience by tracing data quality issues to specific pipelines, understanding root causes, and seeing the downstream impact in one integrated view. This approach enables proactive troubleshooting, reduces resolution times, and improves overall data health. The solution supports data quality checks in Snowflake, Databricks, BigQuery, and Redshift, with key capabilities including comprehensive data quality checks, proactive, contextual alerting, unified asset catalog with quality metrics, end-to-end lineage, track key tables within data products, and a data quality dashboard. By combining orchestration and observability, Astro Observe links data quality directly to pipeline execution health, making it easier to trace issues back to specific Airflow tasks or code.

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