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.
One of the best features we offer customers who are just getting started with Data Culpa is our "timeshift" feature. Timeshift lets us extract a point in time for a row or a document and have Validator evaluate the data contained within that row or document as if it...
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!
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