Automations

Automated documentation versioning for Datafold

⚡️ Automation

Automated documentation versioning in Datafold 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 Datafold

⚡️ Automation

Automated documentation versioning in Datafold 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

With the integration of Datafold into Secoda, updates made to a schema will trigger versioning of documentation and tag the modified documents as 'version-updated'. This integration allows for seamless integration of metadata from Datafold within Secoda, reducing the time spent on documentation and allowing more focus on distributing insights. Secoda already provides data documentation with descriptions for tables, columns, and glossary terms.

How it works

Secoda, an integration platform, seamlessly integrates with Datafold to automate data documentation. Using the Secoda Automations feature, it extracts metadata from Datafold and generates descriptive information for tables, columns, and glossary terms. These Automations consist of two components: Triggers and Actions. Triggers activate the workflow based on predefined schedules like hourly, daily, or custom intervals, providing a structured framework for subsequent actions. Actions encompass various operations, such as filtering and updating metadata, allowing users to create customized workflows to meet their team's requirements. Additionally, Secoda empowers users to perform bulk updates to metadata in Airbyte, further enhancing the integration capabilities.

About Secoda

By integrating Datafold and Secoda, businesses can enhance their documentation process using AI. Secoda acts as a centralized hub for organizing and managing data knowledge within a company. It consolidates various aspects like data catalog, lineage, documentation, and monitoring into one platform. This integration enables companies to streamline their data management efforts and accelerate the documentation process with the support of AI technologies.

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