Automations

Verify Data in Datafold

⚡️ Automation

Verify Data in Datafold 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

Verify Data in Datafold

⚡️ Automation

Verify Data in Datafold 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

Datafold is a platform that specializes in analytical data quality. It offers automated testing for data engineers, allowing them to validate dbt model changes during development, deployment, and migrations. The platform facilitates the comparison of data differences between development and other stages. To ensure data governance at scale, it is important to verify the data found in Datafold through Secoda. This verification process helps address data governance goals by providing end-users with confidence in using the best data sources for their work. All types of resources, such as metrics, dictionary terms, documents, and tables, can be tagged as verified. For audit purposes, datasets can be automatically tagged with 'audit-verified' when changes are recorded and verified against governance policies.

How it works

Datafold tackles data verification through a powerful technique called data diffing. This method compares datasets from different stages (development, staging, production) or identifies changes within a single dataset over time. By pinpointing discrepancies at a granular level (individual rows or columns), Datafold exposes potential errors introduced during data transformations.

Imagine quickly identifying a new customer record with an invalid email address or a product table where sales figures inexplicably dip compared to the previous day. Datafold's visual diffing tools highlight these inconsistencies, allowing data engineers to pinpoint the root cause and rectify issues before bad data infiltrates downstream analytics. This proactive approach ensures the integrity of your data pipeline and fosters confidence in the information used for data-driven decisions.

Integration with Datafold allows users to verify data through Secoda. An Automation consists of Triggers and Actions. Triggers activate the workflow based on defined schedules, such as hourly, daily, or custom intervals. Actions encompass various operations, including filtering and updating metadata. Users can stack actions to create customized workflows that meet their team's requirements. Secoda enables bulk updates to metadata in Datafold.

About Secoda

Datafold and Secoda have a strong integration that allows users to verify data through Secoda. Secoda acts as a comprehensive data management platform, consolidating various aspects of data knowledge such as catalog, lineage, documentation, and monitoring. With its AI-powered data governance capabilities, Secoda seamlessly integrates with Datafold, providing users with a reliable solution for data verification.

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