Identify assets for cleanup in Census

Identify assets for cleanup in Census 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
Census
And automatically do this:
Add action

Overview

Integration with the Census involves tagging data that has not been accessed within a specific timeframe as 'for review' for cleanup. This cleanup process is crucial to uphold the accuracy, reliability, and consistency of datasets. It ensures that analyses and decisions based on this data are valid and well-informed, thereby improving the overall quality of the data.

How it works

Using the integration feature of Secoda, you can automate tasks in Census. This automation involves two components: Triggers and Actions. Triggers activate the workflow based on specific schedules such as hourly, daily, or custom intervals. Actions, on the other hand, enable various operations like filtering and updating metadata. You can combine multiple actions to create comprehensive workflows that cater to your team's requirements. One useful application of this automation is the ability to tag data from Census that has not been accessed within a certain period as 'for review' for cleanup. Additionally, Secoda allows you to perform bulk updates to the metadata in Census, making it easier to manage your data efficiently.

About Secoda

By integrating Census with Secoda, data teams are able to enhance their data cleanup practices and efficiently prioritize assets. Secoda acts as a central hub for your company's data knowledge, consolidating various data management components, such as data catalog, lineage, documentation, and monitoring, into a single platform. This integration allows for seamless access and retrieval of information, enabling data teams to effectively manage and make use of their data resources. By leveraging the capabilities of both Census and Secoda, data teams can streamline their operations and scale their data cleanup efforts with ease.

Related automations

Explore all