Keyword-based column tagging 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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Integration with Databricks allows Secoda to automatically generate data documentation, inclusive of table and column descriptions as well as glossary terms. By utilizing the metadata from Databricks, Secoda can efficiently tag columns that contain specific keywords, ensuring that less time is spent on manual documentation tasks. This integration empowers users to focus more on sharing valuable insights rather than dedicating excessive time to documentation efforts.
Integration of Databricks with Secoda provides automation functionalities through triggers and actions. Triggers initiate the workflow based on predefined schedules, enabling systematic activation of subsequent actions. Actions encompass a range of operations such as filtering and metadata updates, allowing the creation of customized workflows. Using Secoda, bulk updates to Databricks metadata can be performed efficiently. This integration facilitates the automatic tagging of columns containing specific keywords, reducing the time needed for documentation and allowing more focus on sharing insights.
Integration with Databricks allows for seamless integration with Secoda, a data management platform. Secoda serves as a centralized index for your company's data knowledge by consolidating the data catalog, lineage, documentation, and monitoring. With this integration, users can automatically assign tags to columns in Databricks when they contain a specified keyword. This simplifies and streamlines data documentation processes, making it easier to manage and understand your data.
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