How to Treat Your Data As a Product
By Mei Tao
Your company wants to “treat data like a product.” Great! What does that mean?
Monte Carlo’s Newest Feature Optimizes Data Product Performance and Cost
By Mei Tao
Easily detect and resolve data pipeline performance issues to optimize reliability, user experience, and cost with Monte Carlo Performance
How Monte Carlo’s New GitHub Integration Helps Data Teams Detect, Resolve, and Prevent Breaking Changes Faster
By Mei Tao
Discover Monte Carlo’s new GitHub integration to investigate breaking changes and understand the downstream impact of new pull requests.
The Rise of Empty Queries OR Why You Can’t Always Just Re-Run That Failed Job
By Mei Tao
Empty queries are the triple threat of data issues: prevalent, difficult to troubleshoot, and impactful.
How to Make Data Anomaly Resolution Less Cartoonish
By Mei Tao
Fixing broken data doesn’t have to be a game of whack-a-mole. Here’s how to speed up your data incident resolution and root cause analysis.