Can I read Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications on EtoBox?

Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications by Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka (eds.) is a nonfiction available to read on EtoBox.

What is Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications about?

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. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principle

Who reads Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications?

Author

Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka (eds.)

Publisher

Springer International Publishing Imprint : Springer

Published

2017

Language

EN

ISBN

9783319598345

Category

nonfiction

Subjects

Management, Computer Science, Business