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Large Scale Data Analytics (Studies in Computational Intelligence #806) book cover by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Hardcover

Large Scale Data Analytics (Studies in Computational Intelligence #806)

by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong and Amandeep S. Sidhu

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Total $2,419.75

Hardcover · 89 pages Springer International Publishing · 2019

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Hardcover
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About the book

Large Scale Data Analytics (Studies in Computational Intelligence #806)

This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources is becoming more urgent. Currently available frameworks and methodologies are limited in terms of efficiency and querying compatibility between data sources due to the differences in information storage structures. For this research, the authors designed and programmed a framework based on the fundamentals of language integrated query to query existing data sources without the process of data restructuring. A web portal for the framework was also built to enable users to query protein data from the Protein Data Bank (PDB) and implement it on Microsoft Azure, a cloud computing environment known for its reliability, vast computing resources and cost-effectiveness.

Details

Publisher
Springer International Publishing
Authors
Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Format
Hardcover
Published
Jan 25, 2019
ISBN-13
9783030038915
Pages
89
Printing
Printed on demand
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