In software engineering, test coverage is non-negotiable. So why do most data teams still ship data without knowing what’s tested—and what isn’t? Explore how leading data teams are applying the proven discipline of test coverage to data and analytics—automating quality checks across every table, not just the “important” ones. Whether you’re battling silent data failures, burned-out engineers, or quality issues that only show up in production, this webinar will give you a new way to think about trust in your data stack. You’ll see how a structured approach to data test coverage can catch issues before stakeholders do.
You’ll learn:
- Data Test Coverage: Why testing every table is not only possible—it’s essential
- No Table Left Behind: How to achieve total data quality & observability at scale
- Shift Left, Shift Down: How to organize your team to achieve quality performance
- Data Lineage Limitations: Find the actual problems instead of potential impacts
The full webinar is available here.
For those who enjoy reading, we also have a blog post that delves into the ideas in more detail.
