{"title":"Proceedings of the Fourth Workshop on Data analytics in the Cloud","authors":"Asterios Katsifodimos","doi":"10.1145/2799562","DOIUrl":null,"url":null,"abstract":"Data nowadays comes from various sources including log files, transactional applications, the Web, social media, scientific experiments, and many others. In recent years, various analyses of these data have proven useful to aid companies in engaging and serving their users and defining their corporate strategy, help political candidates win elections, and transform the process of scientific discovery. However, these successes are just the tip of the iceberg: Every day, new, more complex analysis techniques are devised and larger, more varied datasets are accumulated. Tackling the complexity of both the data itself and its analysis remains an open challenge.","PeriodicalId":106601,"journal":{"name":"Proceedings of the Fourth Workshop on Data analytics in the Cloud","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth Workshop on Data analytics in the Cloud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2799562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Data nowadays comes from various sources including log files, transactional applications, the Web, social media, scientific experiments, and many others. In recent years, various analyses of these data have proven useful to aid companies in engaging and serving their users and defining their corporate strategy, help political candidates win elections, and transform the process of scientific discovery. However, these successes are just the tip of the iceberg: Every day, new, more complex analysis techniques are devised and larger, more varied datasets are accumulated. Tackling the complexity of both the data itself and its analysis remains an open challenge.