A framework to evaluate big data fabric tools

dc.contributor.authorAlpoim, Ângelapor
dc.contributor.authorLopes, João António Araújopor
dc.contributor.authorGuimarães, Tiago André Saraivapor
dc.contributor.authorPortela, Carlos Filipepor
dc.contributor.authorSantos, Manuel Filipe
dc.date.accessioned2021-04-15T15:28:37Z
dc.date.available2021-04-15T15:28:37Z
dc.date.issued2021-01
dc.description.abstractA huge growth in data and information needs has led organizations to search for the most appropriate data integration tools for different types of business. The management of a large dataset requires the exploitation of appropriate resources, new methods, as well as the possession of powerful technologies. That led the surge of numerous ideas, technologies, and tools offered by different suppliers. For this reason, it is important to understand the key factors that determine the need to invest in a big data project and then categorize these technologies to simplify the choice that best fits the context of their problem. The objective of this study is to create a model that will serve as a basis for evaluating the different alternatives and solutions capable of overcoming the major challenges of data integration. Finally, a brief analysis of three major data fabric solutions available on the market is also carried out, including Talend Data Fabric, IBM Infosphere, and Informatica Platform.por
dc.description.sponsorship(undefined)por
dc.distributioninternationalpor
dc.identifier.citationAlpoim, Â., Lopes, J., Guimarães, T. A. S., Portela, C. F., & Santos, M. F. (2021). A Framework to Evaluate Big Data Fabric Tools. Advances in Business Information Systems and Analytics. IGI Global. http://doi.org/10.4018/978-1-7998-5781-5.ch009por
dc.identifier.doi10.4018/978-1-7998-5781-5.ch009por
dc.identifier.isbn9781799857839por
dc.identifier.urihttps://hdl.handle.net/1822/71869
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIGI Globalpor
dc.relation.publisherversionhttps://www.igi-global.com/chapter/a-framework-to-evaluate-big-data-fabric-tools/267873por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/por
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.odsIndústria, inovação e infraestruturaspor
dc.titleA framework to evaluate big data fabric toolspor
dc.typebookPartpor
dspace.entity.typePublicationen
oaire.citationEndPage191por
oaire.citationStartPage180por
oaire.versionVoRpor
sdum.bookTitleIntegration Challenges for Analytics, Business Intelligence, and Data Miningpor

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