Fundamentals of Data Engineering

Fundamentals of Data Engineering

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Fundamentals of Data Engineering
Fundamentals of Data Engineering
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Fundamentals of Data Engineering

Plan and Build Robust Data Systems 1st Edition
Author: Joe Reis, Matt Housley
Publisher: O'Reilly Media
2022-07-26
Paperback
$39.90
$79.99
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Detailed Overview:

Fundamentals of Data Engineering is a comprehensive guide for modern data engineers, software developers, data analysts, and technology professionals who want to understand how robust data systems are designed and managed in real-world organizations. The book explains the complete data engineering lifecycle, including data generation, ingestion, storage, transformation, orchestration, governance, security, and serving data to downstream applications and users.

Rather than focusing only on tools and technologies, the authors emphasize practical architecture design, business requirements, scalability, and operational best practices. The book helps readers understand how to evaluate modern cloud-based technologies and avoid unnecessary complexity while building reliable and future-ready data platforms.

It is widely recommended for professionals working with big data, analytics, cloud infrastructure, machine learning pipelines, and enterprise data systems. The content combines technical depth with practical insights, making it suitable for both beginners and experienced professionals in the data engineering domain.

Product Details:

Title: Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Author: Joe Reis, Matt Housley
ISBN-13: 9781098108304
ISBN-10: 1098108302
Publisher: O'Reilly Media
Binding: Paperback
No of Pages: 447 Pages
Language: English
Publisher Date: 26 July 2022

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This practical and industry-focused book introduces readers to the rapidly evolving field of data engineering. Authors Joe Reis and Matt Housley provide a structured framework to understand how data moves through modern organizations and how scalable data systems are built. The book covers essential concepts such as: Data engineering lifecycle Data architecture design Data ingestion and orchestration Data storage and transformation Cloud data platforms Data governance and security Scalability and reliability Choosing the right technologies Readers will learn how to design efficient and maintainable data architectures while balancing business requirements, cost optimization, and technical performance. The book also explains how to cut through marketing hype and make practical technology decisions based on real engineering needs.
Joe Reis Joe Reis is a recognized data engineering expert, consultant, speaker, and cofounder of Ternary Data. He has more than two decades of experience in data architecture, analytics, machine learning, and large-scale data systems. Joe is known for simplifying complex data engineering concepts and helping organizations build scalable data infrastructures. Matt Housley Matt Housley is an experienced data engineering and technology professional specializing in cloud systems, data platforms, and enterprise-scale architecture solutions. He has contributed extensively to modern data engineering practices and education.

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