{"title":"Research on Big Data Architecture, Key Technologies and Its Measures","authors":"Xiaoquan Li, Fujiang Zhang, Yongliang Wang","doi":"10.1109/DASC.2013.28","DOIUrl":null,"url":null,"abstract":"Big data require exceptional technologies to efficiently process large quantities of data within tolerable elapsed times, such as capture, curation, storage, search, sharing, transfer, analysis and visualization. Concept, features, construction importance, architecture, run mode, and its key technologies of big data are analyzed in this paper. Information sharing and data security under big data constructin are studied, at last, four measures for building big data are putforward, which can provide good decision-making for big data construction.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2013.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Big data require exceptional technologies to efficiently process large quantities of data within tolerable elapsed times, such as capture, curation, storage, search, sharing, transfer, analysis and visualization. Concept, features, construction importance, architecture, run mode, and its key technologies of big data are analyzed in this paper. Information sharing and data security under big data constructin are studied, at last, four measures for building big data are putforward, which can provide good decision-making for big data construction.