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Integrate Datafold with Databricks for seamless data quality
Prevent data quality issues in Databricks with automated CI testing, ML-powered data monitoring, cross-database data reconciliation, and column-level lineage.
Validate migrations with speed and confidence
Ensure data accuracy effortlessly during migrations to Databricks. Datafold automatically validates data parity between your legacy warehouse and Databricks, catching discrepancies early to provide confidence in every migration.
Catch issues in transformation code before they reach production
With Datafold’s CI/CD integration for Databricks, test and validate transformation code as you build. Automated quality checks run with each pull request, enabling your team to catch and resolve issues before deployment.
Monitor critical data and metrics with real-time alerts
Datafold’s monitoring tools keep your Databricks pipelines in check, with real-time alerts for schema changes, data diffs, and anomalies. Get notified of any issues instantly, so you can quickly address them and ensure data accuracy across Databricks.
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