Big data issues and processing techniques: a comprehensive survey
Big data and its analysis are in the focus of current era of big data. The main production sources of big data are social media like Facebook, twitter, emails, mobile applications and the migration of manual to automatic of almost every entity. Currently, there is a need to investigate and process c...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2019
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| Online Access: | http://eprints.utm.my/id/eprint/90277/1/AishaShabbir2019_BigDataIssuesandProcessing.pdf http://eprints.utm.my/id/eprint/90277/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Big data and its analysis are in the focus of current era of big data. The main production sources of big data are social media like Facebook, twitter, emails, mobile applications and the migration of manual to automatic of almost every entity. Currently, there is a need to investigate and process complex and huge sets of information-rich data in all fields. This paper provides a survey of big data issues and the effectual and efficient platforms and technologies which are needed to deal and process the remarkable amount of data. It revolves around two important areas namely: clustering and scheduling. |
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