Cloud enabled Big Data Analytics
dc.category | Conference Proceedings | |
dc.contributor.author | Vasantha Kalyani David | |
dc.date.accessioned | 2017-03-30T19:18:36Z | |
dc.date.available | 2017-03-30T19:18:36Z | |
dc.date.issued | 2015 | |
dc.department | Computer Science | en_US |
dc.description.abstract | Cloud computing is an innovative technology with intense implications not only for internet services but also fo r the important areas o f analytics and big data. This paper provides an architecture fo r finding gaps between the technology and to recommend solutions fo r research community on Cloud-supported big data computing and analytic solutions. This paper mainly focuses on four important areas in big data analytics which are data management and supporting architecture, model development and scoring, visualisation and user interaction and business models. Cloud computing is an effective technology for determining many o f the challenges enabling ubiquitous, convenient, on-demand network access to a shared pool o f configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. | en_US |
dc.identifier.uri | https://ir.avinuty.ac.in/handle/avu/2382 | |
dc.lang | English | en_US |
dc.publisher.name | National Seminar on Big Data And Opportunities | en_US |
dc.publisher.type | National | en_US |
dc.title | Cloud enabled Big Data Analytics | en_US |
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