Integration with Delta Lake enables schema change alerts for data residing in Delta Lake through Secoda. This integration ensures an efficient and safe migration process. Secoda, an automation tool for data catalog completeness checks, allows users to scan and tag datasets as complete after migration. Delta Lake, an open-source storage layer, enhances Apache Spark by providing features like ACID transactions, scalable metadata handling, and data skipping with Z-order indexes. This integration leverages Delta Lake's compatibility with Spark APIs to streamline data management in a Lakehouse architecture.

Secoda, a data management platform, offers integration with Delta Lake. Through this integration, Secoda serves as an index of your company's data knowledge by consolidating your data catalog, lineage, documentation, and monitoring into a single platform. One of the benefits of this integration is the ability to receive schema change alerts for data residing in Delta Lake, ensuring an efficient and safe migration process. Additionally, Secoda enables you to automate completeness checks in your data catalog, allowing you to automatically scan datasets and tag them as complete after migration.