Large Scale Data Analytics

Nonfiction, Science & Nature, Mathematics, Applied, Technology
Cover of the book Large Scale Data Analytics by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu ISBN: 9783030038922
Publisher: Springer International Publishing Publication: January 9, 2019
Imprint: Springer Language: English
Author: Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
ISBN: 9783030038922
Publisher: Springer International Publishing
Publication: January 9, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Post-Prostatectomy Incontinence by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Regional Economic Organizations and Conventional Security Challenges by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Game Dynamics by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Economic Objects and the Objects of Economics by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Pathophysiology of Headaches by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Nanoscale Surface Modification for Enhanced Biosensing by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Advances in Nature-Inspired Computing and Applications by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Human Mental Workload: Models and Applications by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Intelligent Decision Technology Support in Practice by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Acoustics-A Textbook for Engineers and Physicists by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Advanced Vehicle Dynamics by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book The Soils of Wisconsin by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book The DV-Xα Molecular-Orbital Calculation Method by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Industry 4.0: Managing The Digital Transformation by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
Cover of the book Analysis of Quantised Vortex Tangle by Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy