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2015 | OriginalPaper | Buchkapitel

The Role of Cloud Computing Architecture in Big Data

verfasst von : Mehdi Bahrami, Mukesh Singhal

Erschienen in: Information Granularity, Big Data, and Computational Intelligence

Verlag: Springer International Publishing

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Abstract

In this data-driven society, we are collecting a massive amount of data from people, actions, sensors, algorithms and the web; handling “Big Data” has become a major challenge. A question still exists regarding when data may be called big data. How large is big data? What is the correlation between big data and business intelligence? What is the optimal solution for storing, editing, retrieving, analyzing, maintaining, and recovering big data? How can cloud computing help in handling big data issues? What is the role of a cloud architecture in handling big data? How important is big data in business intelligence? This chapter attempts to answer these questions. First, we review a definition of big data. Second, we describe the important challenges of storing, analyzing, maintaining, recovering and retrieving a big data. Third, we address the role of Cloud Computing Architecture as a solution for these important issues that deal with big data. We also discuss the definition and major features of cloud computing systems. Then we explain how cloud computing can provide a solution for big data with cloud services and open-source cloud software tools for handling big data issues. Finally, we explain the role of cloud architecture in big data, the role of major cloud service layers in big data, and the role of cloud computing systems in handling big data in business intelligence models.

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Titel: The Role of Cloud Computing Architecture in Big Data
verfasst von: Mehdi Bahrami
Mukesh Singhal
Verlag: Springer International Publishing
Buch: Information Granularity, Big Data, and Computational Intelligence
Print ISBN: 978-3-319-08253-0

Electronic ISBN: 978-3-319-08254-7

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-08254-7_13

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