MINING BIG DATA FOR EFFICIENT DATA RETRIEVAL: A SURVEY
Abstract
The vast majority of work related to different data handling tasks is confronting a blast in the information that they need to gather and process so as to direct research. This is valid for both: investigative areas managing trial information, e.g. science, human science, stargazing and so on, additionally logical spaces managing reproduction information, e.g. seismology, material science and so on. To augment the potential result of investigative information examination, individual information administration applications need to satisfy the accompanying coarse undertakings: quick on-interest information handling, and compelling stockpiling and merging of various information accumulations. So handling the big data size along with the processing time is the major concern today. In this paper we have concentrated on big data challenges and analyzed the aspects. For this reason we have studies and suggest the future possibilities.
Keywords
Big Data; Data Storage; processing time; Data Overhead
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PDFDOI: https://doi.org/10.26483/ijarcs.v9i1.5221
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