Automations

Keyword-based column tagging for Snowflake

⚡️ Automation

Keyword-based column tagging in Snowflake 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

Keyword-based column tagging for Snowflake

⚡️ Automation

Keyword-based column tagging in Snowflake 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

Snowflake integration with Secoda allows for the automatic tagging of columns in Snowflake based on specific keywords of metadata. This integration enables users to create data documentation effortlessly, including descriptions for tables, columns, and glossary terms. By automating this process, Secoda saves users time, enabling them to focus more on distributing insights rather than spending valuable resources on documentation.

How it works

Integration with Snowflake allows you to automate processes using triggers and actions. Triggers activate the workflow based on specific schedules or customized settings. Actions encompass various operations such as filtering and updating metadata. By stacking actions, you can create customized workflows that meet your team's needs. With Secoda, you can perform bulk updates to metadata in Snowflake, allowing you to save time on documentation and focus on distributing insights. This integration automates the tagging of columns in Snowflake based on specific keywords in the metadata, streamlining your workflow.

About Secoda

Snowflake and Secoda are integrated to facilitate data documentation and tagging. Secoda functions as a comprehensive data management platform that consolidates your company's data catalog, lineage, documentation, and monitoring. When using Snowflake and Secoda together, columns can be automatically tagged based on specific keywords, enhancing data organization and accessibility. This integration empowers businesses to have a centralized understanding of their data, enabling efficient data management processes.

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