Consistent pipeline behavior is critical for any data process. You can use Data Culpa Validator to ensure consistent operation of pipelines as well as data at rest in databases, data lakes, and data warehouses. This introduction shows you how to validate your results...
In this blog, we’ll discuss all things data quality and data observability. We’ll present interviews with leading data scientists, and we’ll discuss our own working building data observability solutions for data engineers and data scientists working in a broad range of industries.