This comprehensive textbook offers a detailed exploration of Big Data and Hadoop, designed for students, educators, and professionals seeking a strong foundation in modern data processing technologies. Written in clear and accessible English, the book covers the entire Hadoop ecosystem with practical insights, easy-to-understand explanations, and real-world relevance.
Beginning with an introduction to digital data types and the evolution of big data, the book progresses through the architecture and design of Hadoop Distributed File System (HDFS), the mechanics of MapReduce, and the functionalities of essential tools like Pig, Hive, HBase, and Big SQL. The final unit dives into data analytics with R and introduces core machine learning techniques such as supervised and unsupervised learning, making it an ideal reference for applied analytics and intelligent data solutions.
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Nitin Kumar Yadav is a passionate academic contributor, a strategic leader, and a lifelong learner with a vision to make knowledge accessible, relevant, and engaging for the next generation of learners. As a member of the Board of Directors at Sellbrochure IPDP, he brings both leadership and creativity to the field of educational content development and digital publishing.
With a strong belief in the transformative power of technology and data, Nitin has developed a keen interest in areas such as Big Data, Artificial Intelligence, and open-source technologies like Hadoop. His work is driven by the idea that education should be simple, insightful, and deeply connected to real-world applications. This philosophy is clearly reflected in his writing style-where complex topics are explained in a way that students can understand, enjoy, and apply.
Born with an inquisitive mind and a creative soul, Nitin's interests go far beyond academic pursuits. He is deeply passionate about writing, sketching, and music. For him, creativity is not a hobby but a vital part of how he thinks, teaches, and leads. His love for sketching fuels his attention to detail and visualization-qualities that help him explain even the most technical subjects with clarity and imagination.
Nitin is also an enthusiastic online gamer, a hobby that complements his analytical thinking and problem-solving abilities. Gaming, for him, is not just entertainment-it's a dynamic space that fosters strategy, adaptability, and collaboration. These traits have greatly influenced his approach to both leadership and authorship.
At Sellbrochure IPDP, Nitin is known for encouraging original content creation, academic excellence, and digital innovation. He plays a key role in overseeing publication strategies, content quality, and curriculum alignment, ensuring that every book produced under the company banner meets high standards of originality and educational value. His firm commitment to creating original, plagiarism-free educational material has earned him
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Paperback. Zustand: new. Paperback. This comprehensive textbook offers a detailed exploration of Big Data and Hadoop, designed for students, educators, and professionals seeking a strong foundation in modern data processing technologies. Written in clear and accessible English, the book covers the entire Hadoop ecosystem with practical insights, easy-to-understand explanations, and real-world relevance.Beginning with an introduction to digital data types and the evolution of big data, the book progresses through the architecture and design of Hadoop Distributed File System (HDFS), the mechanics of MapReduce, and the functionalities of essential tools like Pig, Hive, HBase, and Big SQL. The final unit dives into data analytics with R and introduces core machine learning techniques such as supervised and unsupervised learning, making it an ideal reference for applied analytics and intelligent data solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798231037247
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Paperback. Zustand: new. Paperback. This comprehensive textbook offers a detailed exploration of Big Data and Hadoop, designed for students, educators, and professionals seeking a strong foundation in modern data processing technologies. Written in clear and accessible English, the book covers the entire Hadoop ecosystem with practical insights, easy-to-understand explanations, and real-world relevance.Beginning with an introduction to digital data types and the evolution of big data, the book progresses through the architecture and design of Hadoop Distributed File System (HDFS), the mechanics of MapReduce, and the functionalities of essential tools like Pig, Hive, HBase, and Big SQL. The final unit dives into data analytics with R and introduces core machine learning techniques such as supervised and unsupervised learning, making it an ideal reference for applied analytics and intelligent data solutions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798231037247
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Taschenbuch. Zustand: Neu. Big Data Analytics | Nitin Kumar Yadav | Taschenbuch | Englisch | 2025 | NotesKaro Inc | EAN 9798231037247 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 133468558
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