Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 37,27
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 46,16
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 60,59
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Editore: LAP Lambert Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. *Hadoop Basics* is a comprehensive guide to understanding Hadoop, a powerful framework for processing large-scale data. The book begins by introducing Hadoop's core components: the Hadoop Distributed File System (HDFS) and MapReduce, which together enable scalable and fault-tolerant data storage and processing. It explains the architecture of Hadoop, including the master-slave model where the NameNode manages metadata and DataNodes store actual data. The book covers setting up Hadoop clusters in both pseudo-distributed and fully distributed modes. It also delves into key Hadoop ecosystem tools like Apache Hive and Apache Pig for data querying and analysis. Additionally, it explores best practices for data management, including data ingestion and storage strategies. The guide provides practical examples and hands-on exercises to help readers gain experience in Hadoop operations. Overall, *Hadoop Basics* offers a solid foundation for anyone looking to harness the power of Hadoop for big data processing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 43,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 61,81
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,92
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808 ISBN 13: 9786208118808
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - \*Hadoop Basics\* is a comprehensive guide to understanding Hadoop, a powerful framework for processing large-scale data. The book begins by introducing Hadoop's core components: the Hadoop Distributed File System (HDFS) and MapReduce, which together enable scalable and fault-tolerant data storage and processing. It explains the architecture of Hadoop, including the master-slave model where the NameNode manages metadata and DataNodes store actual data. The book covers setting up Hadoop clusters in both pseudo-distributed and fully distributed modes. It also delves into key Hadoop ecosystem tools like Apache Hive and Apache Pig for data querying and analysis. Additionally, it explores best practices for data management, including data ingestion and storage strategies. The guide provides practical examples and hands-on exercises to help readers gain experience in Hadoop operations. Overall, \*Hadoop Basics\* offers a solid foundation for anyone looking to harness the power of Hadoop for big data processing.