{"title":"分布式信息系统中的大数据先进技术研究","authors":"N. Kunanets, Ostap Vasiuta, N. Boiko","doi":"10.1109/STC-CSIT.2019.8929756","DOIUrl":null,"url":null,"abstract":"The big data tendency prospects as well as timeliness of the problem are studied in this paper. The principles of work with them are addressed. Big data processing technologies are provided. The analysis of each one is performed. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database is provided.","PeriodicalId":271237,"journal":{"name":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advanced Technologies of Big Data Research in Distributed Information Systems\",\"authors\":\"N. Kunanets, Ostap Vasiuta, N. Boiko\",\"doi\":\"10.1109/STC-CSIT.2019.8929756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The big data tendency prospects as well as timeliness of the problem are studied in this paper. The principles of work with them are addressed. Big data processing technologies are provided. The analysis of each one is performed. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database is provided.\",\"PeriodicalId\":271237,\"journal\":{\"name\":\"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2019.8929756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2019.8929756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced Technologies of Big Data Research in Distributed Information Systems
The big data tendency prospects as well as timeliness of the problem are studied in this paper. The principles of work with them are addressed. Big data processing technologies are provided. The analysis of each one is performed. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database is provided.