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Big Data, Black Book: Covers Hadoop 2, MapReduce, Hive, YARN, Pig, R and Data Visualization - Big Data, Black Book (Paperback, DT Editorial Services)

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Highlights

Binding: Paperback
Publisher: DREAMTECH
Genre: BOOK
ISBN: 9789327296129
Edition: 2023
Pages: 980

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Product Description

User-friendly Language

Featuring English as the language of instruction, this book on Big Data is accessible to a broad audience, including students, professionals, and enthusiasts. Clear explanations and straightforward terminology ensure that complex concepts are easily understood. This approach encourages readers at all levels to engage with the material, making it suitable for those just beginning their journey into Big Data as well as for those looking to deepen their existing knowledge.

Robust Binding

Sporting a paperback binding, this book provides convenience and flexibility for its users. The lightweight format makes it easy to carry, allowing readers to take this book to lectures, study sessions, or meetings. The durable cover protects the contents, while the binding permits easy flipping through the pages. This practicality means readers can enjoy a comfortable reading experience without worrying about wear and tear, making it an ideal choice for study and reference.

Informative Genre

Boasting a comprehensive focus on Big Data technologies, this book covers critical components, such as Hadoop 2, MapReduce, Hive, YARN, Pig, R, and Data Visualisation. Each topic is presented in a structured manner, guiding readers through foundational principles to complex applications. This systematic approach allows readers to build their knowledge progressively, enabling them to understand how these technologies interact and contribute to the Big Data landscape.

Versatile Appeal

Courtesy of its versatile usage, this book is suitable for a wide range of readers, from undergraduate and graduate students to industry professionals seeking to enhance their skills. It serves as a foundational textbook for courses in Big Data and as a reference guide for ongoing projects or research. The content is designed to accommodate different learning preferences, ensuring that everyone can benefit from the information presented.

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