The book provides a comprehensive introduction to big data and hadoop, including the fundamental concepts, tools, and techniques needed to work with large datasets. It covers topics such as data storage, processing, analysis, machine learning, and visualization, as well as real-world applications of big data and hadoop in various industries. The book begins with an overview of big data and its importance in today's world, followed by an explanation of the hadoop ecosystem and its components. Then it delves into the details of the map reduce programming model, YARN, HDFS, and other key technologies that are essential for working with big data. The book also discusses the importance of data governance, security, and privacy in big data environments. Finally, it explores emerging trends in big data and hadoop, such as cloud computing, stream processing, and graph databases. Throughout the book, the author uses practical examples and case studies to illustrate how big data and hadoop can be used to solve real-world problems. He also includes exercises and projects to help readers reinforce their understanding of the concepts presented. Big Data and Hadoop Fundamentals is an ideal resource for anyone looking to gain a solid understanding of big data and hadoop technologies and their applications in modern industry. Book Description: Big Data and Hadoop Fundamentals tools and techniques for datadriven success 2nd Edition By Suresh S.

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