Big Data Using Hadoop and Hive

Nitin Kumar

ISBN 10: 1683926455 / ISBN 13: 9781683926450

Published by Mercury Learning And Information, De Gruyter Apr 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -No detailed description available for 'Big Data Using Hadoop and Hive'. 206 pp. Englisch.

Seller Inventory # 9781683926450

Bibliographic Details

• Title: Big Data Using Hadoop and Hive
• Publisher: Mercury Learning And Information, De Gruyter Apr 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 1683926455
• ISBN 13: 9781683926450
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is a concise guide on getting started with an overall understanding on Apache Hadoop and Hive and how they work together to speed up development with minimal effort. It will refer to simple concepts and examples, as they are likely to be the best teaching aids. It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions.

FEATURES:

• 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

About the Author

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.