With their use for many confidentiality-sensitive and

Withthe passage of time superior and advanced technologies, which include sensors,cyber structures, smart phone devices, cloud applications, informationanalytics, etc. are making difficulties to handling large data and get it ondemand.

The supply of bigrecords and their use for many confidentiality-sensitive and privacyobligations make. However, records protection and privacy is increasingly morecritical requirement1. The two subjects, i.e. “privacy and protectionof large record” and “analytics over large records”, are tightly correlated, overCloud nodes storing big records repositories are applying in terms of informationintensive procedures. As regards the right methodological components,supporting the privacy and protection of big statistics may be ensured viaunique strategies2.

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This tendency toward increasing the volume andrecords of the information that is captured through agencies will no longerexchange in the future, because the upward push of social networks, multimedia,and the Internet of things (IoT) is generating an amazing amount of records.we’re living inside the world of massive information. moreover, information’sare unstructured and traditional systems are not able to analyze it. Day by daynew out comes are making it more difficult and creating new challenges to dealwith3.Currently many business group are working on hugedata protection problems and actively take movements on massive recordssecurity problems. In 2011, CSA formed a running group on huge facts to findanswers for records safety and privacy issues4. This paper is to fetch the current problems and futureproblems facing by people in handling large data and solution to handling largedata.

This work will be done with the help of previous researches, brainstormingand thorough reading. Hope so that this paper will clear the issues with largedata and help others to resolve there problems.


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