Abstract
The full potential of Big Data Analytics (BDA) can be unleashed only by overcoming hurdles like the high architectural complexity and lack of transparency of Big Data toolkits, as well as the high cost and lack of legal clearance of data collection, access and processing procedures. We first discuss the notion of Big Data Analytics-as-a-Service (BDAaaS) to help potential users of BDA in overcoming such hurdles. We then present TOREADOR, a first approach to BDAaaS.
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CITATION STYLE
Damiani, E., Ardagna, C., Ceravolo, P., & Scarabottolo, N. (2017). Toward model-based big data-as-a-service: The TOREADOR approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10509 LNCS, pp. 3–9). Springer Verlag. https://doi.org/10.1007/978-3-319-66917-5_1
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