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.
At Data Culpa, we're building solutions to help data engineers and data scientists catch data quality problems before they jeopardize data pipeline results. Nearly every business today is becoming more data-centric. Data not only drives operations and decision making;...
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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