{"title":"In-memory technology integration features for work with big data on high-tech enterprises","authors":"M. I. Brusakov, G. A. Botvin","doi":"10.1109/SCM.2017.7970694","DOIUrl":null,"url":null,"abstract":"The analysis of in-memory technology implementation features for big data sets on hi-tech enterprises based on SAP HANA technologies as a data storage is provided in article. With use of a column-store method of SAP HANA data storage technologies, the high speed of information read and the efficiency of use of data compression mechanisms can be achieved. The compressed data usage allows to cheapen the resources for processes of a decompression. Along with a parallel engineering of resources at the knowledge-intensive enterprise, the costs economy of storage and processing of Big Data sets with use of in-memory technologies based on SAP HANA allows to reduce volumes of information stored in an information system.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The analysis of in-memory technology implementation features for big data sets on hi-tech enterprises based on SAP HANA technologies as a data storage is provided in article. With use of a column-store method of SAP HANA data storage technologies, the high speed of information read and the efficiency of use of data compression mechanisms can be achieved. The compressed data usage allows to cheapen the resources for processes of a decompression. Along with a parallel engineering of resources at the knowledge-intensive enterprise, the costs economy of storage and processing of Big Data sets with use of in-memory technologies based on SAP HANA allows to reduce volumes of information stored in an information system.
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