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.
There’s lots to love about MongoDB. Compared to traditional databases, MongoDB makes developing and standing up new applications fast, thanks to the implicit schema of the collections. Need to add a new field? No big deal, just start using it. Great! The hierarchical...
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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