A hybrid approach to dynamic enterprise data platform

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dc.authorid0009-0009-6043-2765
dc.authorid0000-0001-5838-4615
dc.contributor.authorSezgin, Mehmet Selmanen_US
dc.contributor.authorBayrak, Ahmet Tuğrulen_US
dc.contributor.authorYıldız, Olcay Taneren_US
dc.date.accessioned2020-12-07T11:21:56Z
dc.date.available2020-12-07T11:21:56Z
dc.date.issued2019-12-12
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractToday, corporations aim to make maximum use of the data produced in business applications. One of the most important goals is to convert the data to the commercial benefit in the fastest way. For this purpose, it is critical to receive the data from source systems, process this data and use it as a support for business decisions. There are many approaches to the proceeding of acquiring, processing and making the data useful. In this study, we took advantage of most of the existing approaches and produced a hybrid solution. This solution can be integrated with new data sources very quickly and reduces the amount of time for data integration, preprocessing, deduplication and entity mapping by using open source software components.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationSezgin, M. S., Bayrak, A. T. & Yıldız, O. T. (2019). A hybrid approach to dynamic enterprise data platform. Paper presented at the 2019 IEEE International Conference on Big Data, Big Data 2019, 3486-3492. doi:10.1109/BigData47090.2019.9006043en_US
dc.identifier.doi10.1109/BigData47090.2019.9006043
dc.identifier.endpage3492
dc.identifier.isbn9781728108582
dc.identifier.issn2639-1589
dc.identifier.scopus2-s2.0-85081395232
dc.identifier.scopusqualityN/A
dc.identifier.startpage3486
dc.identifier.urihttps://hdl.handle.net/11729/2982
dc.identifier.urihttp://dx.doi.org/10.1109/BigData47090.2019.9006043
dc.identifier.wosWOS:000554828703070
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorYıldız, Olcay Taneren_US
dc.institutionauthorid0000-0001-5838-4615
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 IEEE International Conference on Big Data, Big Data 2019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBig dataen_US
dc.subjectData warehousingen_US
dc.subjectMaster data managementen_US
dc.subjectDeduplicationen_US
dc.subjectAutomatic schema detectionen_US
dc.subjectHybrid modelen_US
dc.subjectInformation managementen_US
dc.subjectOpen source softwareen_US
dc.subjectOpen systemsen_US
dc.subjectBusiness applicationsen_US
dc.subjectBusiness decisionsen_US
dc.subjectDe duplicationsen_US
dc.subjectEnterprise dataen_US
dc.subjectHybrid approachen_US
dc.subjectHybrid solutionen_US
dc.titleA hybrid approach to dynamic enterprise data platformen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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