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.
When we founded Data Culpa, one of the first claims we made about the data engineering market was that data monitoring would tie into the testing of data. We believed then — and we still believe — that companies would treat data as a product in the same way they treat...
Here’s what we’re writing on Medium:
The Data Quality Gap (June 11, 2020)
4 Lessons for Data Scientists from the UK’s A-Levels Algorithm Debacle (August 18, 2020)
Feel free to reach out to us!
Subscribe to the Data Culpa Newsletter