Automated documentation versioning for Databricks

Secoda integrates with Databricks through its Automations feature, allowing for the automatic creation of data documentation. This includes descriptions for tables, columns, and glossary terms, utilizing metadata from Databricks. Automations consist of Triggers and Actions. Triggers activate the workflow based on predefined schedules such as hourly, daily, or custom intervals. Actions encompass various operations, including filtering and updating metadata. These actions can be stacked to create tailored workflows to meet the specific needs of your team. Additionally, Secoda also provides the ability to perform bulk updates to metadata in Airbyte.

Integrating Databricks with Secoda allows for expedited documentation creation through the application of AI. By combining these two platforms, companies can effectively manage their data catalog, lineage, documentation, and monitoring in a consolidated data management solution. This integration streamlines the process and enhances the speed at which documentation is generated, enabling efficient data knowledge indexing.