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Implementation of Big Data: A Comparative Study

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Ashish Guwalani
Gaurav Phulwari
Dheeraj Singodia
Published in
Ambient Communications and Computer Systems
Publisher
Springer Singapore

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Abstract

The term Big Data refers to a large amount of data which is present over the Internet. The size of this data is so large that it cannot be stored, handled, analyzed, and processed by the traditional database systems. This is because when size of data increases, then its complexity also increases. There are various sources which are responsible for generation of Big Data such as news media, social networking sites, business applications, and many more. Efficient management, proper storage, availability, scalability, and processing are some of the issues that create some problems while dealing with Big Data. Thus to handle this Big Data, new techniques, tools, and architecture are required. This paper discusses some tools and techniques that are commonly used for handling Big Data as they overcome the traditional difficulties and open a new way for the researchers to draw their attention toward the tools which can be best chosen for maintenance of Big Data.

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previous chapter A PSO-Based ANN Model for Short-Term Electricity Price Forecasting
next chapter A Defensive Approach for CSRF and Broken Authentication and Session Management Attack
Title
Implementation of Big Data: A Comparative Study
Authors
Ashish Guwalani
Gaurav Phulwari
Dheeraj Singodia
Copyright Year
2018
Publisher
Springer Singapore
Book
Ambient Communications and Computer Systems

Print ISBN: 978-981-10-7385-4

Electronic ISBN: 978-981-10-7386-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7386-1_48
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