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.
DataOps Data Quality TestGen Expands: Now Supporting BigQuery and Apache Iceberg
DataOps TestGen Enterprise is now compatible with Google BigQuery and can be used to profile and test file-based data accessible through Redshift Spectrum and Snowflake external tables using Apache Iceberg and other file formats.
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.
Data Quality Test Coverage In a Medallion Data Architecture
For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations.
Critical Data Elements: Your Shortcut to Data Governance That Actually Works
💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn’t involved, and no one agrees on what data truly matters. That’s where Critical Data Elements (CDEs) change everything.
Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering
In an exciting webinar, we talk about the importance of having test coverage across all your tables and tools
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers
Let us show you how to implement full-coverage automatic data checks on every table, column, tool, and step in your delivery process. And how you can create 1000s of tests in a minute using open source tools.
The Data Quality Revolution Starts with You
Your organization’s data quality transformation is waiting for someone to take the first step. The open source tools are available, the methodologies are proven, and the need is obvious. . The revolution starts with you. What are you waiting for?
When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares
Timing is EVERYTHING. How Latency Issues Spawn Data Quality Problems
