Deprecation warnings in Delta Lake 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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Delta Lake is a storage layer called "Delta Lake" that can be used in a Lakehouse architecture to store data and tables. It expands the functionality of Apache Spark and is compatible with its APIs. It offers features like ACID transactions, scalable metadata handling, and data skipping with Z-order indexes. Secoda, on the other hand, is a tool that can automatically identify and tag assets in your data catalog. It can specify assets that have not been updated or viewed in a certain timeframe, like 90 days. Notifications can be received when an asset is ready to be deprecated based on its usage levels.
Integration with Delta Lake allows users to create automated workflows using triggers and actions. Triggers enable scheduled activations, such as hourly or custom intervals, while actions encompass various operations like filtering and update metadata. Users can stack multiple actions to create tailored workflows. Secoda, in particular, enables bulk updates to metadata in Delta Lake. Additionally, Secoda offers the functionality to automatically identify and tag assets in the data catalog based on their last update or view time. Users can receive notifications when an asset is ready to be deprecated based on usage levels.
Delta Lake is used in conjunction with Secoda for data migration, specifically to obtain asset deprecation warnings. Secoda acts as a centralized platform that combines your company's data catalog, lineage, documentation, and monitoring. It provides an index of your data knowledge, making it easier to manage your data assets effectively.
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