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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
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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
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ISBN 10: 6208118808
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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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LAP LAMBERT Academic Publishing, 2024
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Hadoop Distributed File System (Paperback)
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ISBN 10: 6208118808
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Paperback. Condition: 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. Seller Inventory # 9786208118808
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Hadoop Distributed File System
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LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208118808
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Hadoop Distributed File System : Koneru Lakshmaiah Education Foundation
Published by
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208118808
ISBN 13: 9786208118808
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Taschenbuch. Condition: 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. Seller Inventory # 9786208118808
Quantity: 1 available