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2016 | OriginalPaper | Chapter

1. Introduction to Big Data

Authors : Borko Furht, Flavio Villanustre

Published in: Big Data Technologies and Applications

Publisher: Springer International Publishing

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Abstract

In this chapter we present the basic terms and concepts in Big Data computing. Big data is a large and complex collection of data sets, which is difficult to process using on-hand database management tools and traditional data processing applications. Big Data topics include the following activities:

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next chapter Big Data Analytics
Literature
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Hu H, Wen Y, Chua T-S, Li X. Toward scalable systems for big data analytics: a technology tutorial. IEEE Access. 2014;2(14):652–87.
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Menon SP, Hegde NP. A survey of tools and applications in big data. In: IEEE 9th international conference on intelligence systems and control; 2015. p. 1–7.
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Vashisht P, Gupta V. Big data analytics: a survey. In: 2015 international conference on green computing and internet of things; 2015.
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Fahad A, et al. A survey of clustering algorithms for big data: taxonomy and empirical analysis. IEEE Trans Emerg Top Comput. 2014;2(3):267–79.CrossRef
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Challenges and opportunities with big data. White paper; 2012.
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Metadata
Title
Introduction to Big Data
Authors
Borko Furht
Flavio Villanustre
Copyright Year
2016
Book
Big Data Technologies and Applications

Print ISBN: 978-3-319-44548-9

Electronic ISBN: 978-3-319-44550-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44550-2_1

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