Identify assets for cleanup in Great Expectations

Identify assets for cleanup in Great Expectations with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

Get started
Find the following resources:
Integration
is
Great Expectations
And automatically do this:
Add action

Overview

In the context of data cleanup, integration involves tagging data from the book 'Great Expectations' that hasn't been accessed for a specific period as 'for review'. This tagging allows for the identification of data that requires cleanup to maintain data accuracy, reliability, and consistency. By ensuring the data is clean and reliable, it enhances the overall quality of the datasets, facilitating valid and informed analyses and decisions based on this data.

How it works

In order to tag data from the book 'Great Expectations' in the integration as 'for review' for cleanup, you can utilize the automation feature in Secoda. Automations consist of triggers and actions. Triggers are used to activate the workflow, enabling you to schedule specific times for subsequent actions to occur. Actions encompass various operations, such as filtering and updating metadata. By stacking these actions, you can create customized workflows to meet your team's specific requirements. In this case, you can set up an action to bulk update metadata in 'Great Expectations', specifically tagging data that hasn't been accessed within a certain period as 'for review' for subsequent cleanup.

About Secoda

Secoda's integration with Great Expectations provides data teams with a scalable solution for improving their data cleanup practices. By utilizing this integration, teams can efficiently prioritize their data assets. Secoda acts as a central hub for consolidating various aspects of your company's data knowledge, including data catalog, lineage, documentation, and monitoring. The integration with Great Expectations simplifies the process of managing and organizing data, enabling teams to streamline their data cleanup efforts effectively.

Related automations

Explore all