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This book is intended to serve as a useful academic and technical resource for undergraduate students, postgraduate students, research scholars, faculty members, and professionals who wish to understand the foundations of modern data-intensive computing. The chapters are organized in a simple and systematic manner so that learners can gradually move from basic concepts to practical frameworks and real-world applications. The book begins with the fundamentals and applications of Big Data technologies, explaining the characteristics, sources, importance, and emerging trends of Big Data. It then discusses Hadoop, MapReduce, and HDFS architecture, which form the backbone of distributed storage and processing in large-scale data environments.
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