Fundamentals of Data Engineering – 1st Ed. Reis & Housley (Paperback)

Fundamentals of data engineering is a practical, industry-focused guide that helps professionals plan, design, and build reliable data systems at scale. Written by Joe Reis and Matt Housley, this 1st Edition paperback provides a clear framework for understanding modern data engineering beyond tools and trends.

Fundamentals of data engineering emphasizes system thinking, architectural decision-making, and long-term sustainability. Instead of focusing on a single technology stack, the book teaches core principles that apply across cloud platforms, databases, and data pipelines, making it essential for today’s rapidly evolving data landscape.

📚 About the Book

Fundamentals of data engineering explains how data flows from source systems to analytics and machine learning applications. The authors cover the full data lifecycle, including ingestion, storage, transformation, orchestration, governance, and serving layers. Real-world examples help readers understand trade-offs between performance, cost, reliability, and scalability.

Fundamentals of data engineering stands out for its clarity and neutrality. Rather than promoting specific vendors, it focuses on timeless engineering principles. The book also addresses organizational factors such as team structure, communication, and stakeholder alignment, which are critical to successful data platforms.

🎯 What You’ll Learn / Why Read

Fundamentals of data engineering teaches readers how to design data architectures that are robust, flexible, and future-proof. You will learn how to evaluate tools intelligently, manage data quality, ensure security and compliance, and align data systems with business goals.

Fundamentals of data engineering is ideal for data engineers, analytics engineers, software developers, data architects, and technical managers. It is also valuable for data scientists and analysts who want a deeper understanding of the systems powering their work.

✍️ Author Bio

Joe Reis is a data engineer, architect, and educator with extensive experience building large-scale data systems across industries. Matt Housley is a seasoned data leader and consultant who specializes in modern data platforms and cloud architectures. Together, they bring practical, battle-tested insight into real-world data engineering challenges.

📦 Product Details

• Title: Fundamentals of Data Engineering

• Edition: 1st Edition

• Authors: Joe Reis, Matt Housley

• Publisher: O’Reilly Media

• Language: English

• Format: Paperback

• ISBN: 9781098108304

• Genre: Data Engineering, Computer Science, Technology

• Pages: 447 pages

• Publication Year: 2022

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Nybookshub delivers 100% authentic data and technology books sourced from authorized publishers worldwide. Each order is carefully packaged to ensure quality during international shipping. With global delivery, curated professional titles, and dependable service, Nybookshub supports learners and practitioners everywhere.

❓  FAQs

Q1. Is this book suitable for beginners in data engineering?
Yes, it explains concepts clearly and builds understanding from fundamentals.

Q2. Does the book focus on specific tools like Spark or Airflow?
No, it focuses on principles rather than specific technologies.

Q3. Is this useful for experienced data engineers?
Absolutely, it provides architectural insight and long-term best practices.

Q4. Can managers or architects benefit from this book?
Yes, it is highly valuable for technical leaders and system designers.

Q5. Is this an original O’Reilly paperback edition?
Yes, Nybookshub sells only genuine and authorized copies.

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