Big Data Fundamentals: Concepts, Drivers & Techniques

Big Data Fundamentals: Concepts, Drivers & Techniques

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2016 · 英語 · 平裝書 · 2 個版本
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描述

In an era where data drives decision-making, this book serves as an essential guide to understanding the foundations of big data. The authors, Thomas Erl, Wajid Khattak, and Paul Buhler, meticulously unravel the complex concepts that underpin big data, making them accessible to readers at all levels. Through clear explanations and practical insights, they highlight the importance of data in shaping modern organizations.

The book delves into the primary drivers behind the big data revolution, emphasizing the transformative effects it has on various industries. Readers will discover the techniques needed to harness insights from vast quantities of information, leading to more informed strategies and improved outcomes.

With a focus on real-world applications, this work is particularly beneficial for business professionals eager to adapt to the evolving landscape. It presents a compelling case for the necessity of big data knowledge, ensuring that readers are well-equipped to thrive in a data-driven marketplace.

書籍詳情

格式 平裝書
頁數 240 頁
語言 英語
已出版 Jan 5, 2016
出版商 Pearson
ISBN-10 0134291077
ISBN-13 9780134291079

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