Implementing data analysis and visualization into a SOA based architecture for AddTrack Enterprise 4G
Service-Oriented Architecture (SOA) is an architectural approach designed to provide scalable, resuable, and extensible software by dividing the software into self-contained services. Online Analytical Processing (OLAP) is an approach for data management that supports resolving ad hoc and complex multidimensional analytical queries. In this thesis, a case study for adapting these two technologies to an existing off-board train diagnostics system, called AddTrackEnterprise, is presented. The thesis also present a proposal for how to visualize the data contained in this system, such that it accommodates the OLAP approach. The thesis outlines the study of the subject matter and of the implementation of software for AddTrack based on these approaches.
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