Big Data Challenges - Definition, Characteristics and Technologies

cris.sourceIdoai:journals.unwe.bg:article/562
dc.creatorYordanova, Stanimiraen
dc.creatorStefanova, Kameliaen
dc.date2019-03-28
dc.date.accessioned2026-09-24T23:13:35Z
dc.date.available2026-09-24T23:13:35Z
dc.descriptionVolume, complexity, variety and velocity of generated data today reach incredible levels and data cannot be collected, selected, processed or managed through widely used and applied software tools. The need to extract meaningful information from big data evokes the development of new approaches and technologies for storing, processing and analyzing big data coming from different sources. This paper aims to present the definition, characteristics and technologies for storing and managing big data that require a new approach to understanding data and information.en
dc.formatapplication/pdf
dc.identifierhttps://rp.unwe.bg/index.php/rp/article/view/562
dc.identifier10.37075/RP.2019.1.01
dc.identifier.urihttps://ds.e-dnrs.org/handle/123456789/1603
dc.languagebg
dc.publisherAcademic Publishing UNWE (AP-UNWE)en
dc.relationhttps://rp.unwe.bg/index.php/rp/article/view/562/554
dc.rightsCopyright (c) 2019 Stanimira Yordanova, Kamelia Stefanova (Author)en
dc.rightshttps://creativecommons.org/licenses/by/4.0en
dc.sourceResearch Papers of UNWE; No. 1 (2019); 13-31en
dc.subjectData lakeen
dc.subjectBig dataen
dc.subjectHadoopen
dc.subjectC88 - Other Computer Softwareen
dc.titleBig Data Challenges - Definition, Characteristics and Technologiesen
dc.typePeer-reviewed Articleen

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