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dc.contributor.authorStockinger, Kurt-
dc.contributor.authorvan Lingen, Frank-
dc.contributor.authorValente, Marco-
dc.date.accessioned2018-06-28T09:52:51Z-
dc.date.available2018-06-28T09:52:51Z-
dc.date.issued2015-06-15-
dc.identifier.issn1944-9615de_CH
dc.identifier.issn1547-2825de_CH
dc.identifier.urihttps://tdwi.org/research/2015/06/business-intelligence-journal-vol-20-no-2.aspxde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/7433-
dc.description.abstractEnterprises are often struggling with the design of Big Data architectures. Some argue that the traditional data warehouse is the silver bullet for solving most data-intensive enterprise problems while others argue that the new Big Data ecosystem based on Hadoop is much better suited. In this paper we discuss several industry analytics use cases with a particular focus on the Internet of Things (IoT), describing the challenges and opportunities behind them and provide guidelines and best practices for the right technology choice.de_CH
dc.language.isoende_CH
dc.publisherData Warehousing Institutede_CH
dc.relation.ispartofBusiness Intelligence Journalde_CH
dc.rightsNot specifiedde_CH
dc.subjectBig datade_CH
dc.subjectData architecturede_CH
dc.subjectData warehousingde_CH
dc.subjectInternet of thingsde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleBig data analytics in a connected worldde_CH
dc.typeBeitrag in Magazin oder Zeitungde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Informationstechnologie (InIT)de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume20de_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedDatalabde_CH
Appears in collections:Publikationen School of Engineering

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