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Ideas on lean data engineering.

Practical writing on simpler architectures, maintainable analytics systems, and choosing the right level of complexity for the problem in front of you.

Showing 6 articles on page 2 of 2.

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Dash vs Streamlit vs React for Data Applications

In many organizations data engineers eventually become the owners of dashboards that originally lived in BI tools like Power BI or Tableau. Over time the requirements for those dashboards…

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Analytic Tools for Wholesale Food Beverage Distributors

Many wholesale food and beverage distributors assume analytics requires complex dashboards, expensive software, or a dedicated data team. That belief can lead to unnecessary cost and…

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The Lean Table Format

Hudi, Iceberg, and Delta are the hottest jargon in modern data lake design. They bring impressive capabilities to cloud object storage such as ACID transactions, schema evolution, time…

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Stop Paying for Distributed Frameworks You Don't Need

Every week, I come across teams running massive PySpark clusters to process datasets that could easily fit on a single machine. The result? Bloated AWS bills and a false sense of “future…