{"title":"Concept definition for Big Data architecture in the education system","authors":"P. Michalik, J. Stofa, I. Zolotová","doi":"10.1109/SAMI.2014.6822433","DOIUrl":null,"url":null,"abstract":"Big Data is a huge phenomenon of last days. Number of applications using this concept is still increasing and area of implementation is still wider and wider. There are different examples such as transport, health-care, industry or education. This work covers just the field of education or university's environment. Purpose of this work is to identify Big Data sources from university's environment and also design of procedure how to work with them. Paper also shows possible using concept of Big Data, but does not show what types of analyses should be performed to improve education process. It means that the main benefit of this work is design of architecture for this problem from the technical perspective. In addition, there are some specific software applications that can be deployed to solve this problem.","PeriodicalId":441172,"journal":{"name":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2014.6822433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 55
Abstract
Big Data is a huge phenomenon of last days. Number of applications using this concept is still increasing and area of implementation is still wider and wider. There are different examples such as transport, health-care, industry or education. This work covers just the field of education or university's environment. Purpose of this work is to identify Big Data sources from university's environment and also design of procedure how to work with them. Paper also shows possible using concept of Big Data, but does not show what types of analyses should be performed to improve education process. It means that the main benefit of this work is design of architecture for this problem from the technical perspective. In addition, there are some specific software applications that can be deployed to solve this problem.