Featured Articles

A simple data contract could have saved NASA a spacecraft and $600 million.

Data-centric cultures are great in theory. But they need to deliver in practice, especially when it comes to promoting data literacy and upskilling teams.

When it comes to the importance of data quality in modern businesses, data SLAs need to be much more than a wink and a nod.

The simplest concepts in data engineering can cause the most complicated problems. This is why understanding upstream vs. downstream data is key.

While simple in theory, treating data as a product can produce transformative benefits. Learn why, and why some still struggle to treat their data as an asset.

Large language models succeed or fail based on the volume of information used to create them, which makes LLM data quality mission-critical.

There's a lot of debate around whether data mesh challenges are worth the ability to leave centralized systems behind. Can data contracts clear things up?

As data environments grow more complex, data lineage challenges can cause critical complications. Fortunately, practical solutions can save the day.

To date, centralized data systems have served an important purpose. Learn why federated data is proving to be the best way forward.