We explore the new generation of open source data quality software that uses AI to police AI, automate test generation at scale, and provides the transparency and control—all while keeping your CFO happy.
Process Guardianship: The Most Valuable Data Engineering Work You’re Probably Not Doing
When people think of data engineers, the description usually stops at “building high-quality pipelines that deliver analyst-ready data.” That is true, but incomplete. In modern organizations, data engineers hold a deeper responsibility. They are not just the builders of pipelines—they are the curators of the business logic itself.
Flip the Script on Data Quality: Shift Left, Shift Down, and Take Control
The manufacturing industry learned decades ago that catching defects early in the production process saves exponentially more money than fixing them after products ship. Today’s data engineering teams face a strikingly similar challenge.
Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024
Announcing Actionable, Automated, & Agile Data Quality Scorecards
Unlocking Data Team Success: Are You Process-Centric or Data-Centric?
We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric. Understanding this framework offers valuable insights into team efficiency, operational excellence, and data quality.
How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons
Using the ecological idea of the ‘Tragedy Of The Commons’ as a metaphor for the eternal issue of data quality, we talk about how data quality leaders can leverage Dale Carnegie’s 100-year-old ideas on influencing people and wrapping this improvement process with DataOps iterative improvement.
Announcing Open Source DataOps Data Quality TestGen 3.0
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?
