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Joe Reis

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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  • More about Fundamentals of Data Engineering: Plan and Build Robust Data Systems


This book provides a comprehensive view of data engineering, covering the data engineering lifecycle and how to stitch together cloud technologies to serve downstream data consumers. It helps assess data engineering problems, choose the best technologies, and build a robust architecture with data governance and security.

Format: Paperback / softback
Length: 446 pages
Publication date: 05 July 2022
Publisher: O'Reilly Media


The field of data engineering has experienced remarkable growth in recent years, prompting a significant demand for a comprehensive understanding of this practice among software engineers, data scientists, and analysts. This practical guide aims to provide readers with the necessary skills and knowledge to plan and construct systems that cater to the requirements of their organizations and customers. Authored by Joe Reis and Matt Housley, the book delves into the intricacies of the data engineering lifecycle, guiding readers through the process of selecting the most suitable technologies within this framework. By employing a holistic approach, the authors demonstrate how to seamlessly integrate a diverse range of cloud technologies to meet the demands of downstream data consumers. Throughout the book, they emphasize the importance of key concepts such as data generation, ingestion, orchestration, transformation, storage, governance, and deployment, regardless of the underlying technology employed. By leveraging these principles, readers will gain the ability to assess data engineering problems from an end-to-end perspective, effectively separating marketing hype from genuine solutions. Moreover, the book serves as a valuable tool for designing and building robust architectures that can withstand the challenges of modern data environments. It incorporates data governance and security principles throughout the data engineering lifecycle, ensuring that organizations can manage and protect their valuable data assets effectively. Whether you are a seasoned data professional or just starting your journey in this field, this book offers valuable insights and practical techniques to help you succeed in your data engineering endeavors.

Weight: 764g
Dimension: 179 x 233 x 28 (mm)
ISBN-13: 9781098108304

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