Big Data Fundamentals: Concepts, Drivers & Techniques

Big Data Fundamentals: Concepts, Drivers & Techniques

Thomas Erl , Wajid Khattak , Paul Bühler
Brak ocen
Jan 5, 2016 · Angielski · Miękka okładka (240 strony)
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Szczegóły książki

Format Miękka okładka
Strony 240
Język Angielski
Opublikowany Jan 5, 2016
Wydawca Pearson
ISBN-10 0134291077
ISBN-13 9780134291079

Opis

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.

Gatunki

Nauka i Technologia Biznes i Ekonomia Współczesna

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