{"title":"Increasing the qualification requirements for graduates in directions related to high-performance computing","authors":"J. Shichkina, M. Kupriyanov","doi":"10.1109/IVFORUM.2015.7388239","DOIUrl":null,"url":null,"abstract":"Modern databases contain so much data that it is practically impossible to analyze them manually to extract valuable information in order to make important decisions. In view of this, demand for methods of data automatic research is increasing every year, and this entails both growth of relevance of applied tasks by means of high-performance computing, and training of highly qualified personnel for effective work with this machinery. This paper considers a number of problems faced both by an enterprise associated with processing of large amounts of data, and an expert directly dealing with these data.","PeriodicalId":335258,"journal":{"name":"2015 IV Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IV Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVFORUM.2015.7388239","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
Modern databases contain so much data that it is practically impossible to analyze them manually to extract valuable information in order to make important decisions. In view of this, demand for methods of data automatic research is increasing every year, and this entails both growth of relevance of applied tasks by means of high-performance computing, and training of highly qualified personnel for effective work with this machinery. This paper considers a number of problems faced both by an enterprise associated with processing of large amounts of data, and an expert directly dealing with these data.
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