Large Scale Data Analytics

• Main Authors: Cho, Chung Yik (Author, http://id.loc.gov/vocabulary/relators/aut), Tan, Rong Kun Jason (http://id.loc.gov/vocabulary/relators/aut), Leong, John A. (http://id.loc.gov/vocabulary/relators/aut), Sidhu, Amandeep S. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Data, Semantics and Cloud Computing, 806
• Subjects: Applied mathematics.; Engineering mathematics.; Mathematical and Computational Engineering.

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...

Table of Contents:

• Introduction
• Background
• Large Scale Data Analytics
• Query Framework
• Results and Discussion
• Conclusion and Future Works.