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Image of Large Scale Data Analytics

Electronic Resource

Large Scale Data Analytics

Cho, Chung Yik - Personal Name; Tan, Rong Kun Jason - Personal Name; Leong, John A. - Personal Name; Sidhu, Amandeep S. - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001898EB0002559006.312 LarCentral LibraryAvailable
Detail Information
Series Title
-
Call Number
006.312 Lar
Publisher
Switzerland : Springer Cham., 2019
Collation
ix 89p.:Ill
Language
English
ISBN/ISSN
978-3-030-03892-2
Classification
006.312
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Data mining
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Large Scale Data Analytics
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