Reproducibility and test-driven development are foundational to production-ready code
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Making your code production-ready one commandment at a time
Finding the right orchestrator for your use cases
Want consistent, reliable data? Hire more data engineers and implement data observation.
Working at a startup is not for everyone. Ideas are pitched, teams are put together, and products are launched at the drop of a hat. I am so glad I had…
A guide on how you can solve your data quality problem using Python.
Training, predicting, and serving all in one easy process using BentoML Continue reading on CodeX »
Using deequ to calculate metrics and set constraints on your big datasets Continue reading on CodeX »
Giving teams the ability to ask meaningful questions Continue reading on Better Programming »
An alternative data orchestrator to Airflow and Prefect Continue reading on Better Programming »
Creating cleaner and simpler SQL code Continue reading on Learning SQL »