BIG DATA ANALYTICS, 1ST EDITION
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BIG DATA ANALYTICS, 1ST EDITION
📘 Book Details
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Author: Raj Kamal
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Publisher: McGraw-Hill Education
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Language: English
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Edition: First Edition
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ISBN: 9789353164966
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Pages: 542
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Cover: Paperback
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Dimensions: 9.4 x 7.1 x 0.8 inches
📝 About The Book
Big Data Analytics: Introduction to Hadoop, Spark, and Machine-Learning by Raj Kamal offers a comprehensive and practical overview of the dynamic world of big data. Tailored for students, educators, and IT professionals, this book covers essential concepts and tools used in Big Data Analytics, including Hadoop, Spark, MapReduce, Hive, Pig, Python, and Mahout.
With its hierarchical structure and teach-by-example approach, the book progresses from foundational principles to advanced topics like real-time streaming data analytics, machine learning algorithms (K-NN, clustering, decision trees), recommendation systems, and social network analysis. Richly supported by illustrations, sample code, and real-world case studies—from toys and chocolates to cars and GPA datasets—it bridges theory and practical application.
This is an indispensable guide for undergraduate and postgraduate students in computer science, IT, and related disciplines, as well as software developers looking to master Big Data tools and techniques.
