Effective data science requires clean data. As data moves through the data pipeline, there may be errors introduced. Errors can also arise from code changes, database migrations, and other forms of data movement. How can you ensure data quality within a fast moving, dynamic data system? Datafold is a company built around data quality management.

The post Datafold: Data Quality Tooling with Gleb Mezhanskiy appeared first on Software Engineering Daily.