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Data Engineer: Foundations & Data Modeling
Paperback
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Publisher: Independently Published
Published: Feb 25 2026
Pages: 326
Weight: 1.67
Height: 0.68 Width: 8.50 Depth: 11.00
Language: English
Data engineering is no longer about moving data.
It is about building trust at scale.
Data Engineer: Foundations & Data Modeling is a definitive, real-world guide for building reliable, scalable, and AI-ready data systems - from first principles to enterprise-grade platforms.
This book goes beyond tools and trends. It teaches you how to think like a data engineer.
You will master:
Data modeling that prevents metric chaos
Batch and streaming pipelines that scale safely
Analytics and AI-ready data architectures
Feature engineering and ML data pipelines
Data quality, observability, governance, and security
Real-world failure patterns and how to avoid them
Interview, certification, and career readiness
With narrative-driven chapters, real-life analogies, hands-on labs, mini projects, and industry case studies, this book bridges the gap between theory and production reality.
Whether you are:
Aspiring to become a data engineer
Preparing for interviews or certifications
Designing enterprise analytics platforms
Building data foundations for AI and machine learning
This book equips you with the judgment, discipline, and systems mindset that top data engineers are known for.
Tools change.
Foundations endure.
This book gives you both the edge and the depth.
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