Research C hallenges in Cloud Databases

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dc.categoryConference Proceedings
dc.contributor.authorElizabeth Shanthi, I
dc.date.accessioned2017-03-30T18:55:32Z
dc.date.available2017-03-30T18:55:32Z
dc.date.issued2014
dc.departmentComputer Scienceen_US
dc.description.abstractCloud computing is the buzz word of today's IT industry. Databases and storage are an integral part of cloud computing. Cloud computing is slowly pushing out the traditional database technologies which ruled the FT industry for decades, as these technologies is findia.g it to difficult to cope with the expectation of the cloud technology. The traditiorud Relational ModeKRDBMS) can no longer be the "One Size fits all" solution because of the various limitations when the databases is moved to the cloud. "Traditional database systems do not have the scale, flexibility and power to store, process, analyze, and mine huge volumes of diverse and distributed data in real time. Due to this the FT industry came with many NoSQL (Not Only SQL) and NewSQL databases with various needs in mind. As data variety, velocity)~veracity, and volume~ are fast-growing, different types of database systems such as graph, columnar, text, key-value, etc. (all these are termed as NoSQL) are being explored. Hadoop is a new method for parallel data crunching. NoSQL and Hadoop need a better infrastructure, which is being offered by cloud infrastructure. That is why cloud databases have become hugely popular and pervasive. This paper aims in discussing the various advancements in the recent past in cloud databases and tries to find out the various alternatives available in cloud computing with regard to cloud databases.en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/2379
dc.langEnglishen_US
dc.publisher.nameProceedings of th2nd National Conference on 31st May, 2014 "Sustainable Development through Global Business and Technological Advancement''en_US
dc.publisher.typeNationalen_US
dc.titleResearch C hallenges in Cloud Databasesen_US
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