Big Data: A Very Short Introduction

by Dawn E. Holmes
Big Data: A Very Short Introduction cover
Good Books rating 3.67
Technology and Innovation
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  • ID: 10847
  • Added: 2026-02-06
  • Updated: 2026-02-21
  • ISBN: 9780191085031
  • Publisher: Oxford University Press
  • Published: 2017-11-16
  • Reviews: 3

Big Data: A Very Short Introduction delves into the exponential growth of data in the digital age, highlighting how it is collected, stored, and analyzed by various entities. The book uses case studies to illustrate the impact of big data on businesses, medical research, and government operations, while also addressing critical ethical issues such as data security and privacy concerns. /n/n Author Dawn E. Holmes examines the technological advancements that enable the handling of vast amounts of data and discusses the implications of these technologies on society. The book is part of the Very Short Introductions series, known for its accessible and informative approach to complex topics.

Reviews
Jade the Obscure · 2018-10-25
enthusiastic 4.50

This book is an excellent introduction to the concept of big data, making it accessible to those who are baffled by the subject. It provides a clear and concise overview of the topic.

The reviewer finds this book to be a perfect introduction to the complex world of big data. They appreciate how Holmes breaks down the subject into understandable concepts, making it accessible even to those who are new to the topic. The book is praised for its clarity and conciseness, providing a solid foundation for understanding big data. The reviewer recommends it to anyone looking to get a grasp on this important and increasingly relevant subject.

Quick quotes

    This very short introduction is perfect for anyone who is a little bit baffled by the very concept of big data.

    Holmes introduces the subject in a clear and concise manner.

    It provides a solid foundation for understanding big data.

Goodreads · 2018-01-30
disappointed 2.50

The book approaches the topic of big data with little criticality, treating its spread as inevitable. It lacks depth in its analysis and discussion.

The reviewer expresses disappointment with the book's lack of critical analysis on the topic of big data. They feel that Holmes treats the spread of big data as inevitable and does not delve deeply into the implications and potential issues. The reviewer finds the book to be somewhat superficial, lacking the depth and critical thinking that they were hoping for. They suggest that readers looking for a more nuanced discussion on big data might want to look elsewhere.

Quick quotes

    Holmes approaches the topic of big data with very little criticality.

    Essentially treats the creep of big data as inevitable.

    Lacks depth in its analysis and discussion.

Concatenation · Dawn Holmes · 2018-01-15
optimistic 4.00

Big data is powerful and has immense potential for good, but its potential for abuse is also significant. The responsibility lies with us to prevent its misuse.

In this review, Dawn Holmes emphasizes the dual nature of big data, highlighting its potential for both immense good and significant harm. She argues that big data is a powerful tool that can be used to drive positive change, but also acknowledges the risks associated with its misuse. Holmes stresses the importance of responsible use and the need for safeguards to prevent abuse. She believes that the potential of big data is enormous, but it is up to us to ensure that it is used ethically and responsibly.

Quick quotes

    Big data is power and its potential for good is enormous.

    But it is also power and how we prevent its abuse is up to us.

    The responsibility lies with us to prevent its misuse.

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