Show simple item record

dc.contributor.authorYordanova, Stanimira
dc.contributor.authorStefanova, Kamelia
dc.date.accessioned2019-05-03T07:48:32Z
dc.date.accessioned2019-05-03T07:48:33Z
dc.date.available2019-05-03T07:48:32Z
dc.date.available2019-05-03T07:48:33Z
dc.date.issued2019
dc.identifier.issn0861-6604
dc.identifier.urihttp://hdl.handle.net/10610/4050
dc.description.abstractIn contemporary business development, digital transformation has become a major challenge to big data management. In an environment of increasing volumes of data, the major factors that are crucial to business development relate to big data processing and analysis. Open-source data processing technologies employ an innovative approach to the design of data processing and data analytics tools in cooperation among developers, which ensures the transparency, accessibility and continuous improvement of those tools. The main objective of this article is to review popular open-source technologies for big data processing and identify trends in employing big data in business applications.us_US
dc.publisherTsenov Publishing HouseEN_en
dc.relation.ispartofseries1;1
dc.subjectbig dataus_US
dc.subjectdigital transformationus_US
dc.subjectbig data technologiesus_US
dc.titleMAJOR TECHNOLOGIES AND PRACTICAL ASPECTS OF THE DIGITAL TRANSFORMATION OF BUSINESS IN A BIG DATA ENVIRONMENTus_US
dc.typeArticleus_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record