საქართველოს ტექნიკური უნივერსიტეტის ნიკო მუსხელიშვილის სახელობის საუნივერსიტეტო ბიბლიოთეკა

Niko Muskhelishvili University Library of Georgian Technical University

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Big data using Hadoop and Hive. eResource / Nitin Kumar.

By: Material type: TextTextPublication details: Mercury Learning and Information LLC 2021.Description: 207 pISBN:
  • 9781683926450
Subject(s): Summary: "Hadoop bought capabilities to store massive amount of data in distributed environment and provide the way to process them effectively. It's a distributed data processing system which support distributed file systems and it offers a way to parallelize and execute programs on a cluster of machines. It could be installed on cluster with using large number of commodities hardware which intern optimized the overall solution costs. This book is a concise guide on getting started with Hadoop and Hive. It provides overall understanding on Hadoop and how it works and same time provide the sample code to speed up development with very minimum effort. It will refer to easy-to-explain concept & 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"--
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Item type Current library Call number Copy number Status Date due Barcode
ელ.უცხოური წიგნები / eForeign Books ელ.უცხოური წიგნები / eForeign Books ცენტრალური ბიბლიოთეკა / Central library კომპიუტერული დარ. / Computer hall 004.6 / CD-7349 (Browse shelf(Opens below)) 7349 Available 2024-3238

"Hadoop bought capabilities to store massive amount of data in distributed environment and provide the way to process them effectively. It's a distributed data processing system which support distributed file systems and it offers a way to parallelize and execute programs on a cluster of machines. It could be installed on cluster with using large number of commodities hardware which intern optimized the overall solution costs. This book is a concise guide on getting started with Hadoop and Hive. It provides overall understanding on Hadoop and how it works and same time provide the sample code to speed up development with very minimum effort. It will refer to easy-to-explain concept & 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"--

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