Databricks schema change alerts

The integration of Secoda with Databricks enables the monitoring of schema changes in data stored within Databricks. By leveraging Secoda, users can ensure a smooth and secure migration process. Secoda automates completeness checks in the data catalog, allowing for efficient tracking of migrated resources. Once a resource has been successfully migrated, Secoda provides the capability to automatically scan datasets and tag them as complete, ensuring data integrity and accuracy. This integration facilitates seamless collaboration and analysis of large datasets within the Databricks environment.

Secoda can be integrated with Databricks to facilitate schema change alerts for data residing in Databricks. This integration ensures a smooth and secure migration process. By consolidating your data catalog, lineage, documentation, and monitoring into a single platform, Secoda serves as an index of your company's data knowledge. It enables you to automate completeness checks in your data catalog and automatically scan datasets to tag them as complete after migration. This integration with Databricks allows for efficient and safe data management.