Big Data and Hadoop

DETAILS : 

• Author: by V. K. Jain
  
• Publisher: ‎ Khanna Publishing
  
• Publication date: ‎ 1 January 2017
  
• Edition ‏ : ‎ First Edition
  
• Language: ‎ English
  
• Print length: ‎ 656 pages
  
• ISBN-10: ‎ 938260913X
  
• ISBN-13: ‎ 978-9382609131
  
• Item Weight: ‎ 1100  g

ABOUT THE BOOK

Big Data and Hadoop by V. K. Jain is a comprehensive, practical guide designed to help students, developers, and IT professionals master the foundational architecture and practical mechanics of big data technologies. The core philosophy of this text centers on bridging theoretical concepts of large-scale distributed computing with hands-on, enterprise-ready data processing workflows. The narrative guides the reader through the evolution of data systems, breaking down the famous 5 V’s of big data (Volume, Velocity, Variety, Veracity, and Value) before diving deep into the core components of the Apache Hadoop ecosystem—primarily the Hadoop Distributed File System (HDFS) for scalable storage and MapReduce for parallel processing. The book stands out by providing structured code snippets, clear architectural diagrams, and step-by-step installation guides for key ecosystem tools including YARN, Hive, Pig, HBase, and Sqoop. By balancing core theory with real-world deployment scenarios, the text equips readers to design, build, and maintain robust big data infrastructure capable of handling massive analytical workloads.'

ABOUT THE AUTHOR

Dr. V. K. Jain is a distinguished academician, computer scientist, and prolific technical author who has written numerous authoritative textbooks on software engineering, computer networks, and emerging technologies. Writing with a clear, highly pedagogical, and student-friendly voice, his editorial approach prioritizes conceptual clarity, step-by-step problem solving, and practical application over overly complex academic jargon. Over a long teaching and writing career, he has specialized in translating intricate technical specifications into structured learning modules suitable for university curricula and self-taught developers alike. His extensive experience in computer science education ensures that readers gain both a solid theoretical grounding and the actionable skills needed to navigate modern enterprise IT environments.