Databricks integration with Secoda provides an automated mechanism for managing data assets. The integration consists of triggers and actions. Triggers enable you to schedule specific time intervals, such as hourly or daily, to initiate subsequent actions. Actions encompass various operations, such as filtering and updating metadata. By stacking these actions, you can create customized workflows that meet your team's specific requirements. With Secoda, you can efficiently perform bulk updates to metadata in Databricks. Additionally, Secoda allows you to automatically identify and tag assets in your data catalog that have not been accessed or modified within a specified period, such as the last 90 days. Moreover, you receive notifications when assets are ready to be deprecated based on their usage levels.

Data migration can be efficiently carried out by combining the capabilities of Databricks and Secoda. Databricks is a powerful tool that allows you to process and analyze large volumes of data, while Secoda serves as a centralized platform for managing your data catalog, lineage, documentation, and monitoring. By integrating these two platforms, you can streamline the migration process and receive warnings about asset deprecation, ensuring a smooth and informed transition of your company's data.