Deprecation warnings in Databricks

Deprecation warnings in Databricks with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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One of the integration options available with Secoda is Databricks. Databricks is a cloud-based data engineering platform that allows users to collaboratively work on big data and machine learning projects. It is built on Apache Spark and provides features such as automated cluster management and IPython-style notebooks. With this integration, data scientists and engineers can easily analyze and process large datasets. By connecting Secoda with Databricks, users can automatically identify and tag assets in their data catalog that have not been updated or viewed within a specified time interval, such as the last 90 days. Notifications can also be received when an asset is ready to be deprecated based on its usage levels.

How it works

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.

About Secoda

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.

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