Automations

Identify assets for cleanup in Cluvio

⚡️ Automation

Identify assets for cleanup in Cluvio 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 Cluvio

⚡️ Automation

Identify assets for cleanup in Cluvio 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

Integration with Cluvio allows users to tag data that has not been accessed within a specific period as "for review" for cleanup. This feature plays a crucial role in maintaining dataset accuracy, reliability, and consistency. By identifying and addressing outdated or unused data, businesses can ensure that their analyses and decisions are based on up-to-date, valid information. Ultimately, this integration enhances overall data quality, resulting in more informed and reliable insights.

How it works

Using Secoda's integration with Cluvio, you can automate the process of tagging data that has not been accessed within a specified time frame as 'for review'. This integration consists of two components: Triggers and Actions. Triggers allow you to set up schedules for activating the workflow at specific intervals, such as hourly, daily, or on a customized basis. Once triggered, Actions can be applied to the data, including operations like filtering and updating metadata. By stacking these actions, you can create customized workflows that address your team's specific requirements. With this integration, you can efficiently perform bulk metadata updates in Cluvio for effective data cleanup.

About Secoda

Cluvio, when integrated with Secoda, offers data teams a scalable solution for streamlining their data cleanup practices. By leveraging Secoda's index of data knowledge, which includes a consolidated data catalog, lineage, documentation, and monitoring, users can easily prioritize and manage their data assets effectively. This integration enhances the overall efficiency and organization of data management processes.

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