
Your essential guide to overcoming data challenges
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 6 | Founded | 3 years ago | Last Issue | 3 years ago |
| Active | |||||

Have you ever started an analysis or machine learning project without knowing which dataset to use? Or the dataset was given, but you had no idea which attributes to use or the difference between the three attributes that seem to mean the s...
In the old days of data engineering, we were far from “normal” software engineers. We were using SSIS or Pentaho, and things like version control or testing weren’t part of our toolbox. Luckily, things have changed, and we incorporated a lo...
There is something worse than a data pipeline failing. A data pipeline failing because of unexpected upstream changes.
What changed? Who changed that? What are we missing? Did we always receive the same data? We start asking ourselves many...
In my first article, I wrote about why data quality matters and argued about the importance of data quality. Everything can be summarized with “garbage in, garbage out” and how caring and improving data quality will lead to better decisions...
Data is a valuable asset. If you look at the top 10 largest companies in the world, most of them are technology companies that derive their value purely from data (like Google or Meta), or the products and services they offer depend on or a...
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The writers behind this newsletter.
Senior Engineer with 10+ years of experience building scalable data infrastructure and data pipelines, with the past two years focused entirely on designing and shipping LLM-powered products at scale.
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