Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/71869

TítuloA framework to evaluate big data fabric tools
Autor(es)Alpoim, Ângela
Lopes, João António Araújo
Guimarães, Tiago André Saraiva
Portela, Carlos Filipe
Santos, Manuel Filipe
DataJan-2021
EditoraIGI Global
CitaçãoAlpoim, 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.ch009
Resumo(s)A 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.
TipoCapítulo de livro
URIhttps://hdl.handle.net/1822/71869
ISBN9781799857839
DOI10.4018/978-1-7998-5781-5.ch009
Versão da editorahttps://www.igi-global.com/chapter/a-framework-to-evaluate-big-data-fabric-tools/267873
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Livros e capítulos de livros/Books and book chapters

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