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Erschienen in:
Need for Developing Intelligent Interfaces for Big Data Analytics in the Microfinance Industry Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Cloud-Based Big Data Analytics—A Survey of Current Research and Future Directions

verfasst von : Samiya Khan, Kashish Ara Shakil, Mansaf Alam

Erschienen in: Big Data Analytics

Verlag: Springer Singapore

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Abstract

The advent of the digital age has led to a rise in different types of data with every passing day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is complex and needs to be stored, processed, and analyzed for information that can be used by organizations. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. This makes cloud-based analytics a viable research field. However, several issues need to be addressed and risks need to be mitigated before practical applications of this synergistic model can be popularly used. This paper explores the existing research, challenges, open issues, and future research direction for this field of study.

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Vorheriges Kapitel Load Balancing in Cloud—A Systematic Review
Nächstes Kapitel Fully Homomorphic Encryption Scheme with Probabilistic Encryption Based on Euler’s Theorem and Application in Cloud Computing
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Metadaten
Titel
Cloud-Based Big Data Analytics—A Survey of Current Research and Future Directions
verfasst von
Samiya Khan
Kashish Ara Shakil
Mansaf Alam
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Big Data Analytics

Print ISBN: 978-981-10-6619-1

Electronic ISBN: 978-981-10-6620-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-6620-7_57