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Decision Support in Big Data Contexts: A Business Intelligence Solution

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New Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 444))

Abstract

In the last few years we all have witnessed an enormous growth in the production of data. According to some estimates, ninety percent of the existing world’s data was created over the past two years! Indeed, we are in the era of Big Data which is characterized by the continuous creation of vast amounts of data, originated from different sources, and with different formats. First, with the rise of smart devices, mobile applications, cloud computing, and social networks and, more recently, with the advent of the Internet of Things (IoT), data with enormous potential for organizations is being continuously generated. In order to be more competitive, organizations want to access and explore all the richness that is present in those data, which is the main purpose of Business Intelligence. In this paper we continue the presentation of an experiment in which data obtained from a NoSQL database (database technology explicitly developed to deal with the specificities of Big Data) is used to feed a Business Intelligence solution.

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References

  1. Vesset, D., Woo, B., Morris, H.D., Villars, R.L. et. al. (2012). Worldwide Big Data Technology and Services 2012-2015 Forecast (IDC, March, 2012).

    Google Scholar 

  2. Halper, F., & Krishnan, K. (2014). TDWI Big Data Maturity Model Guide Interpreting Your Assessment Score. TDWI Benchmark Guide 2013–2014.

    Google Scholar 

  3. Reinsel, D. & Gantz, J. (2012). The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East (IDC, December, 2012).

    Google Scholar 

  4. Cunha, J.P., & Pereira, J.L. (2015). Column-Based Databases: Estudo Exploratório no Âmbito das Bases de Dados NoSQL. Proceedings da 15ª Conferência da Associação Portuguesa de Sistemas de Informação. CAPSI 2015. Lisboa.

    Google Scholar 

  5. Sousa, G., & Pereira, J.L. (2015). Document-Based Databases: Estudo Exploratório no Âmbito das Bases de Dados NoSQL. Proceedings da 15ª Conferência da Associação Portuguesa de Sistemas de Informação. CAPSI 2015. Lisboa.

    Google Scholar 

  6. Costa, M., & Pereira. J.L. (2015). From a NoSQL Data Source to a Business Intelligence Solution: An Experiment. Proceedings of the 4th International Conference on Virtual and Networked Organizations, Emergent Technologies and Tools. ViNOrg 2015. Póvoa de Varzim – Portugal.

    Google Scholar 

  7. PDI. (2015). “Pentaho Data Integration - Kettle ETL tool” (http://etl-tools.info/en/pentaho/kettle-etl.htm; accessed in April of 2015).

  8. PBIP. (2015). “Pentaho Business Intelligence Platform” (http://www.pentaho.com/product/business-visualization-analytics; accessed in June of 2015).

  9. Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition, Wiley.

    Google Scholar 

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Correspondence to José Luís Pereira .

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© 2016 Springer International Publishing Switzerland

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Pereira, J.L., Costa, M. (2016). Decision Support in Big Data Contexts: A Business Intelligence Solution. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_93

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  • DOI: https://doi.org/10.1007/978-3-319-31232-3_93

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31231-6

  • Online ISBN: 978-3-319-31232-3

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