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In this paper we present an approach for an information system which is capable of processing and analysing vast amounts of data. In addition to Big Data solutions we do not focus on ex post batch processing but on online stream processing. We use Apache Storm in combination with Complex Event Processing to provide a scalable and dynamic event-driven information system, providing logistics businesses with relevant information in real-time to increase their data and process transparency.

2015 international conference on evaluation of novel approaches to software engineering (enase)

Dynamic and Scalable Real-time Analytics in Logistics - Combining Apache Storm with Complex Event Processing for Enabling New Business Models in Logistics