Abstract
Business process is defined as a set of interrelated tasks or activities which allows the fulfillment of one of the organization’s objectives. Modeling business process can be applied in several domains such as healthcare, business, education, etc. Modeling such process allows to facilitate and understand the functioning of corresponding systems. Steps in the process need input data and generate new output data. Business Process Management Systems (BPMS) play the role to model, configure and execute business processes. These latters are facing new challenges toward big data area. Data in business process originate from multiple sources with a variety of formats and are generated in a high speed and hence need in one hand, a storage infrastructure gathering all data types and forms. And on the other hand, analytics infrastructure that makes those data ready for analysis is needed. Therefore, regarding the flexibility and the dynamics of the execution of learning process, Not Only SQL (NoSQL) databases should be taken into consideration. So, the idea of combining business process and NoSQL databases becomes one merging and critical research area. In this paper, we propose the adoption of a Nosql database schema with MongoDB to model learning data in the context of MOOCs. Then, we explore the idea of integrating such database with the designed and configured massive learning process.
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Hassani, A., Ayachi Ghannouchi, S. (2018). Exploring the Integration of Business Process with Nosql Databases in the Context of BPM. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_74
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DOI: https://doi.org/10.1007/978-3-319-76348-4_74
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