Large Scale Data Analytics

Author:   Chung Yik Cho ,  Rong Kun Jason Tan ,  John A. Leong ,  Amandeep S. Sidhu
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   806
ISBN:  

9783030038915


Pages:   89
Publication Date:   25 January 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Large Scale Data Analytics


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Overview

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.

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Author:   Chung Yik Cho ,  Rong Kun Jason Tan ,  John A. Leong ,  Amandeep S. Sidhu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   806
Weight:   0.454kg
ISBN:  

9783030038915


ISBN 10:   3030038912
Pages:   89
Publication Date:   25 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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