M. Muniswamaiah, Dr.Tilak Agerwala, Dr.Charles Tappert
{"title":"Challenges of Big Data Applications in Cloud Computing","authors":"M. Muniswamaiah, Dr.Tilak Agerwala, Dr.Charles Tappert","doi":"10.5121/CSIT.2019.90918","DOIUrl":null,"url":null,"abstract":"Big Data applications are used for decision making process for gaining useful insights hidden from large volume of data. They make use of cloud computing infrastructure for massive scale and complex computation which eliminates the need to maintain dedicated hardware and software resources. The relationship between big data and cloud computing is presented with focus on challenges and issues in data storage with different formats, data transformation techniques applied, data quality and business challenges associated with it. Also, some good practices which helps in big data analysis has been listed","PeriodicalId":248929,"journal":{"name":"9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/CSIT.2019.90918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Big Data applications are used for decision making process for gaining useful insights hidden from large volume of data. They make use of cloud computing infrastructure for massive scale and complex computation which eliminates the need to maintain dedicated hardware and software resources. The relationship between big data and cloud computing is presented with focus on challenges and issues in data storage with different formats, data transformation techniques applied, data quality and business challenges associated with it. Also, some good practices which helps in big data analysis has been listed