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*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.
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Hadoop Distributed File System: Koneru Lakshmaiah Education Foundation
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LAP LAMBERT Academic Publishing, 2024
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Hadoop Distributed File System: Koneru Lakshmaiah Education Foundation
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LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208118808
ISBN 13 : 9786208118808
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Hadoop Distributed File System: Koneru Lakshmaiah Education Foundation
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LAP LAMBERT Academic Publishing, 2024
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ISBN 13 : 9786208118808
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Hadoop Distributed File System
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Hadoop Distributed File System
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Hadoop Distributed File System
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Paperback. Etat : 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. N° de réf. du vendeur 9786208118808
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Hadoop Distributed File System
Edité par
LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10 : 6208118808
ISBN 13 : 9786208118808
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. N° de réf. du vendeur 9786208118808
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Hadoop Distributed File System : Koneru Lakshmaiah Education Foundation
Edité par
LAP LAMBERT Academic Publishing, 2024
ISBN 10 : 6208118808
ISBN 13 : 9786208118808
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9786208118808
Quantité disponible : 1 disponible(s)