Now With Actionable, Automatic, Data Quality Dashboards. Learn about DataOps Data Quality TestGen 3.0.
No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically
The reality is that 80% of data quality tests can be generated automatically, eliminating the need for tedious manual coding. Learn how to do it today.
Summary of the Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”
Summary of the Melody Chien from Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”
Webinar: Data Quality in a Medallion Architecture – 2024
Would you like help maintaining high-quality data across every layer of your Medallion Architecture?
A Guide to the Six Types of Data Quality Dashboards
Not all data quality dashboards are created equal. Their design and focus vary significantly depending on an organization’s unique goals, challenges, and data landscape. This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in improving Data Quality.
The Race For Data Quality in a Medallion Architecture
The Medallion Data Lakehouse Architecture Has A Unique Set Of Data Quality Challenges. Find Out How To Take The Gold In This Tough Data Quality Race!
Read White Paper: Data Quality The DataOps Way
Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward.
Podcast: The Data Strategy Show
Discussiing the nasty, brutsh and short tenure of a CDO, and how to make DataOps happen in your organization via bottoms up innovation.
Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact
Webinar: Unlocking the Power of Data Observability and Quality Testing
Podcast: Data Hurdles Poscast
In the fast-paced world of data analytics, where mountains of information are processed daily to derive valuable insights, one man is on a mission to revolutionize how teams work with data. Christopher Bergh, the CEO, Founder, and self-styled “Head Chef” of DataKitchen, is not your typical tech executive. With a background in software development and a passion for efficiency, Bergh has set out to tackle what he sees as the biggest problem in the data industry: waste.
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Announcing Open Source DataOps Data Quality TestGen 3.0February 20, 2025
