Automations

Identify assets for cleanup in Fivetran

⚡️ Automation

Identify assets for cleanup in Fivetran 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

Identify assets for cleanup in Fivetran

⚡️ Automation

Identify assets for cleanup in Fivetran 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

To maintain data accuracy and enhance data quality, data cleanup becomes vital. Integration with Fivetran, a tool for data consolidation, helps in achieving this goal. By tagging data from Fivetran that hasn't been accessed within a specific time period as "for review," it becomes easier to identify and clean up outdated or irrelevant data. This process ensures that analyses and decisions made based on the data remain valid and informed, maintaining the overall reliability and consistency of datasets.

How it works

Secoda's integration with Fivetran allows you to automate data management tasks efficiently. By utilizing Triggers and Actions, you can establish schedules to activate workflows and trigger subsequent actions. These actions include various operations like filtering and updating metadata, which can be stacked to create customized workflows tailored to your team's requirements. In the specific context of tagging data from Fivetran that hasn't been accessed within a certain period, you can use Secoda to mark it as "for review" and initiate cleanup processes. This integration empowers you to perform bulk updates to metadata in Fivetran seamlessly.

About Secoda

Secoda's integration with Fivetran provides data teams with the opportunity to efficiently expand their data cleanup practices. By seamlessly integrating with Secoda, Fivetran streamlines the process of prioritizing assets, allowing data teams to easily manage their data catalog, lineage, documentation, and monitoring within a centralized platform. This integration empowers data teams to scale their data cleanup practices and enhances overall data management capabilities.

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