Big Data Using Hadoop and Hive
Autor Nitin Kumaren Limba Engleză Paperback – 15 apr 2021
- Shows how to leverage the open-source software Hadoop and Hive to build distributed, scalable, concurrent big data applications
- Includes material on Hive architecture with various storage types and the Hive query language
- Features a chapter on big data and how Hadoop can be used to solve the changes around it
- Explains the basic Hadoop setup, configuration, and optimization
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Specificații
ISBN-13: 9781683926450
ISBN-10: 1683926455
Pagini: 206
Dimensiuni: 178 x 229 x 12 mm
Greutate: 0.36 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information
ISBN-10: 1683926455
Pagini: 206
Dimensiuni: 178 x 229 x 12 mm
Greutate: 0.36 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information
Notă biografică
Kumar Nitin : Nitin Kumar has 18+ years of overall IT experience with technical specialties in architecture, systems analysis, design, performance tuning, and execution on a Distributed Parallel Processing system. He has published books and papers with special focus on Agile, Big Data, streaming, Java, and re-factoring.
Cuprins
1: Big Data
2: What Is Apache Hadoop?
3: The Hadoop Distribution File System
4: Getting Started with Hadoop
5: Interfaces to Access HDFS Files
6: Yet Another Resource Negotiator
7: MapReduce
8: Hive
9: Getting Started with Hive
10: File Format
11: Data Compression
Index
2: What Is Apache Hadoop?
3: The Hadoop Distribution File System
4: Getting Started with Hadoop
5: Interfaces to Access HDFS Files
6: Yet Another Resource Negotiator
7: MapReduce
8: Hive
9: Getting Started with Hive
10: File Format
11: Data Compression
Index