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Distributed Computing in Big Data Analytics Concepts, Technologies and Applications /

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, d...

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Corporate Author: SpringerLink (Online service)
Other Authors: Mazumder, Sourav. (Editor, http://id.loc.gov/vocabulary/relators/edt), Singh Bhadoria, Robin. (Editor, http://id.loc.gov/vocabulary/relators/edt), Deka, Ganesh Chandra. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Scalable Computing and Communications,
Subjects:
Computer communication systems.
Electrical engineering.
Database management.
Application software.
Computer Communication Networks.
Communications Engineering, Networks.
Database Management.
Information Systems Applications (incl. Internet).
Online Access:https://doi.org/10.1007/978-3-319-59834-5
Table of Contents:
  • On the role of Distributed Computing in Big Data Analytics
  • Fundamental Concepts of Distributed Computing used in Big Data Analytics
  • Distributed Computing Patterns useful in Big Data Analytics
  • Distributed Computing Technologies in Big Data Analytics
  • Security Issues & Challenges in Big Data Analytics in Distributed Environment
  • Application of Big Data Analytics Application in Climate Science
  • Applying Distributed Computing in Cognitive Computing
  • Distributed Computing in Social Media Analytics
  • Utilizing Big Data Analytics for Automatic Building of Language-agnostic Semantic Knowledge Bases.

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