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Yadav, Nitin Kumar Big Data Analytics ISBN 13: 9798231037247

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9798231037247: Big Data Analytics

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Yadav, Nitin Kumar
Editore: Noteskaro Inc, 2025
ISBN 13: 9798231037247
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Nitin Kumar Yadav
Editore: Noteskaro Inc, 2025
ISBN 13: 9798231037247
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Paperback. Condizione: 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. Codice articolo 9798231037247

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Nitin Kumar Yadav
Editore: Noteskaro Inc, 2025
ISBN 13: 9798231037247
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Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Paperback. Condizione: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798231037247

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