Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications 1st ed. 2017 Edition

Ebook Details


Sourav Mazumder, Robin Singh Bhadoria, Ganesh Chandra Deka

Year 2017
Pages 162
Publisher Springer
Language en
ISBN 9783319598338
File Size 3.89 MB
File Format PDF
Download Counter 504
Amazon Link

Ebook Description

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.