Druck auf Anfrage Neuware - Printed after ordering - 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 principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.

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Bibliographic Details

Title: Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications
Publisher: Springer International Publishing, Springer International Publishing
Publication Date: 2018
Language: English
ISBN 10: 331986713X
ISBN 13: 9783319867137
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 155 millimeters height by 10 millimeters depth
Weight: 271 grams

About this title

Synopsis

Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use cases

Details how different big data technologies leverage those key concepts and patterns of distributed computing

Includes applications, such as IoT, cognitive analytics, social media analytics and scientific data analytics

"About this title" may belong to another edition of this title.

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