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.
BOSTON, MA. September 13, 2022 – Data Culpa, Inc., a provider of high-scale, low-touch data observability solutions for data engineering projects of all kinds, today announced that the US Patent & Trademark Office has issued patent #11,429,614 to Data Culpa for...
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)
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