Automations

Automated documentation versioning for Databricks

⚡️ Automation

Automated documentation versioning 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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Automations

Automated documentation versioning for Databricks

⚡️ Automation

Automated documentation versioning 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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Overview

Secoda seamlessly integrates with Databricks, streamlining the documentation process. Whenever there are changes to a schema, Secoda triggers versioning for the documentation and tags the updated documents as 'version-updated'. This integration allows users to easily access metadata from Databricks, streamlining the documentation process and reducing the time spent on it. With Secoda, you can focus more on distributing insights rather than spending excessive time on documentation. Secoda automatically generates comprehensive data documentation, including descriptions for tables, columns, and glossary terms.

How it works

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.

About Secoda

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.

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