Test data in your pipeline

Test data quality early and often in development and production pipelines to catch data problems far upstream, before they can impact your business.

A clear picture of data health and quality

Share dashboards to monitor data quality health with real-time insights into the data being consumed. Track the resolution of any issues that arise, identify areas of improvement, and track the progress of data quality initiatives.

Find anomalies in the data as far upstream as possible

Automatically monitor datasets that feed into a data product to ensure that the data product remains accurate and relevant over time, and take proactive measures to address potential issues before these impact your business.

Group 1001: Building the modern data stack

In this conversation Gu and Koen, Head of Customer at Soda, discuss how every business can: - build a modern data stack to increase productivity and operational efficiency - create the flywheel effect that accelerates the next business outcome - enable the ‘10x’ data engineer and analyst to be free and spend more time on discovering new insights and delivering more value. Gu will share key wins and lessons learned throughout his career, with key takeaways including how to decrease time to value

Atlan + Soda: Integration Showcase

Atlan's active metadata platform is powered by Soda’s real-time, data quality insights, which enable data teams to easily find, understand, and trust the data they use. Read more about this integration here: https://www.soda.io/integrations/atlan