Introducing Nessi.dev: The Delta-Native Data Quality Engine

In today’s data-driven world, maintaining data quality isn’t just a luxury—it’s a necessity. Modern data teams face unprecedented challenges with schema drift, broken pipelines, and silent anomalies, particularly when working with Delta Lake. These issues aren’t just inconvenient; they can lead to costly mistakes and lost opportunities.

The Challenge

Modern data teams are drowning in a sea of data quality issues:

• Schema Drift: Unexpected changes in data structure that break downstream processes
• Pipeline Failures: Silent breakdowns that go unnoticed until it’s too late
• Data Anomalies: Subtle irregularities that compromise data integrity

And when you’re working with Delta Lake, these challenges become even more pronounced.