Abstract
This chapter presents the innovative approach developed in the Dicode project regarding the integration of services and applications in the context of “big data”. The objective was to define a flexible, scalable and customizable information and computation infrastructure to exploit the competences of stakeholders and information workers by incorporating the underlying collective intelligence. Our approach pays much attention to usability and ease-of-use issues, aiming to enable users without any particular programming expertise to use the system. We present two major outcomes of the Dicode project regarding integration issues: the Dicode Workbench and the Dicode Integration Framework.
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© 2014 Springer International Publishing Switzerland
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de la Calle, G., Alonso-Martínez, E., Rojas-Vera, M., García-Remesal, M. (2014). Integrating Dicode Services: The Dicode Workbench. In: Karacapilidis, N. (eds) Mastering Data-Intensive Collaboration and Decision Making. Studies in Big Data, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-02612-1_7
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DOI: https://doi.org/10.1007/978-3-319-02612-1_7
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