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Practical technical ebooks for data professionals

Deep, hands-on guides on data engineering, machine learning, cloud platforms and LLM applications — written for engineers who ship. No fluff, no filler: just the patterns and decisions that hold up in production.

What makes these different

Written to be used, not skimmed

Production-grade, not tutorial-grade

Every concept is grounded in how it actually behaves under real data volumes, failures and team constraints — the parts most tutorials skip.

Complete and structured

Each book is a full curriculum with a real table of contents, worked examples and clear progression — not a loose collection of blog posts.

Tool-agnostic, durable patterns

We focus on the patterns behind the tools, so what you learn stays useful as the stack changes around you.

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Read on any device, search the full text, keep it forever. No accounts, no subscriptions, no lock-in.

About the author

AN

[AUTHOR NAME]

Data & ML engineer

DataForge Books are written by a practising data and machine-learning engineer with years of experience building and operating data platforms in production. The goal is simple: turn hard-won, real-world lessons into clear, practical books that save you the months it takes to learn them the hard way.

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