Big Data

by Viktor Mayer-Schönberger, Kenneth Cukier
Big Data cover
Good Books rating 4.25
Science and Innovation
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Technical
  • ID: 2698
  • Added: 2025-10-16
  • Updated: 2026-02-21
  • ISBN: 9781472920072
  • Publisher: Bloomsbury Publishing
  • Published: 2017-08-29
  • Reviews: 4

Big Data, originally published in 2016 by Bloomsbury Sigma, explores the vast and complex world of data that surrounds us every day. This insightful book delves into the ways data is collected, analyzed, and utilized, revealing the profound impact it has on our society and individual lives. /n/n From the algorithms that predict our behavior to the systems that manage our cities, Big Data offers a comprehensive look at the technology and science behind the data revolution. It also examines the ethical and social implications of our data-driven world, providing a thought-provoking perspective on the future of information.

Reviews
okigiveup.net · 2025-12-23
informative 3.80

The book highlights the complexity and fragility of systems built with transactional tools not designed for big data. It offers a practical guide to understanding and implementing big data systems.

The reviewer points out that using traditional transactional tools for big data can lead to overly complex and fragile systems. They appreciate the book's practical approach, which guides readers through the theory and implementation of big data systems. The reviewer finds the book particularly useful for those looking to deploy and operate big data systems effectively. However, they also note that the book's focus on the Lambda Architecture might limit its applicability to other big data approaches.

Quick quotes

    This approach leads to overly complex, fragile systems, because the transactional tools were not built for reliable and robust.

    The book offers a practical guide to understanding and implementing big data systems.

    The Lambda Architecture is a scalable, easy-to-understand approach that can be built and run by a small team.

Financial Times · 2025-10-16
insightful 4.50

The book offers a groundbreaking exploration of the big data world, highlighting its reality and potential impact. The authors provide clear insights into how big data is transforming various sectors.

The Financial Times review praises the book for its comprehensive and fascinating look into the world of big data. They highlight the authors' ability to reveal the reality of big data and its transformative potential across different fields. The review emphasizes the clarity and depth of the insights provided, making it a valuable read for anyone interested in understanding the implications of big data.

Quick quotes

    In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and ...

    The authors provide a compelling vision of how big data is changing how we use data, as well as the economic consequences of big data.

    Though their book leaves the reader with a keen appreciation of the tools that big data can provide in helping us “quantify and understand the ...

Medium · Feruz Urazaliev · 2024-07-25
recommended 4.50

The book is considered a must-read for understanding the principles and best practices of big data systems. It is highly recommended for aspiring data engineers.

Feruz Urazaliev highly recommends this book for anyone looking to understand the principles and best practices of big data systems. They believe it is a must-read for aspiring data engineers, providing valuable insights into the architectural and practical aspects of big data. The reviewer appreciates the book's comprehensive coverage and its ability to guide readers through the complexities of big data systems. They also note that the book's practical examples make it an excellent resource for both beginners and experienced professionals.

Quick quotes

    Big Data by Nathan Marz and James Warren is a must-read for understanding the principles and best practices.

    This book is highly recommended for aspiring data engineers.

    The book provides valuable insights into the architectural and practical aspects of big data.

engx.space · 2024-03-25
excellent 4.20

The book is praised as an excellent resource for understanding big data systems. It is considered a valuable addition to any data engineer's library.

The reviewer considers this book an excellent resource for anyone interested in big data systems. They highlight its comprehensive coverage and practical examples, making it a valuable addition to any data engineer's library. The reviewer appreciates the book's ability to guide readers through the theory and implementation of big data systems, noting that it is particularly useful for those looking to deploy and operate these systems effectively. They also mention that the book's focus on the Lambda Architecture is a significant strength.

Quick quotes

    This book is an excellent resource for understanding big data systems.

    It is a valuable addition to any data engineer's library.

    The book's focus on the Lambda Architecture is a significant strength.

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