Event Data Warehousing for Complex Event Processing

In the last few years, Complex Event Processing (CEP) has emerged as a new paradigm for event-driven applications. The research focus in this area has so far been primarily on operational issues and not on the ex-post analysis of event data. On the other side, approaches like data warehousing have proven useful in the past to extract further valuable information from the data available within an organization. In this paper, we elaborate the concept of a fully-implemented event data warehouse as an add-on for CEP that allows to efficiently archive and query valuable event data for later analysis. We outline the overall architecture and describe the relevant meta-models for an integrated data management approach. The data management itself is implemented using a RDBMS, and its schema is automatically synchronized with the CEP models. Finally, we present a real-world use case to illustrate the application of the event data warehouse in practice.