Usage monitoring for 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 an open-source storage layer that supports data and table storage in a Lakehouse architecture. It enhances Apache Spark with features like ACID transactions, scalable metadata handling, and data skipping with Z-order indexes. In this context, Secoda can be used to monitor data resource usage and metadata from Delta Lake. This helps ensure a smooth and secure migration process by ensuring efficiency.
In Delta Lake integration, Secoda allows you to monitor the usage levels of data resources through its Automations feature. Automations consist of Triggers and Actions. Triggers activate the workflow based on specific schedules like hourly, daily, or custom intervals. Actions encompass a variety of operations, such as filtering and updating metadata. You can stack multiple actions together to create customized workflows. One of the capabilities provided by Secoda is the ability to perform bulk updates to metadata in Delta Lake.
Secoda, in conjunction with Delta Lake, offers a comprehensive data management platform that serves as an index for your company's data knowledge. By consolidating your data catalog, lineage, documentation, and monitoring into a single platform, Secoda enables efficient data migration and facilitates monitoring of data resource usage levels.
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