Automations

Identify orphaned data in Polytomic

⚡️ Automation

Identify orphaned data in Polytomic 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 orphaned data in Polytomic

⚡️ Automation

Identify orphaned data in Polytomic 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

Data integration is a vital aspect of data cleanup practices. In the case of Polytomic, it is important to identify data that does not have an assigned team or user. By doing so, this data can be tagged for review. This process of identifying orphaned data helps to maintain data integrity, improve storage efficiency, boost system performance, and ensure accurate data analysis and reporting.

How it works

In the Polytomic integration for Secoda, an Automation consists of two parts: Triggers and Actions. Triggers initiate the workflow by activating specific schedules such as hourly, daily, or custom intervals. This creates a structured framework for subsequent actions. Actions include various operations like filtering and updating metadata. Multiple actions can be stacked to create detailed workflows customized to meet the specific requirements of your team. With Secoda, you have the ability to perform bulk updates to metadata in Polytomic. This integration allows you to identify data in Polytomic that no longer has an assigned team or user and tag it for review.

About Secoda

Using Polytomic with Secoda can greatly enhance data teams' ability to scale their data enablement practices. Secoda serves as a comprehensive data management platform, consolidating your company's data catalog, lineage, documentation, and monitoring into a single, streamlined interface. By leveraging the power of Polytomic integration, data teams can easily maintain their trust scorecards, ensuring that data quality and reliability are upheld throughout the organization. This seamless integration empowers data teams to efficiently manage and utilize their data knowledge, ultimately driving better decision-making and improved outcomes for the company.

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