FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics [chapter]

André Petermann, Martin Junghanns, Robert Müller, Erhard Rahm
2015 Lecture Notes in Computer Science  
We present FoodBroker, a new data generator for benchmarking graph-based business intelligence systems and approaches. It covers two realistic business processes and their involved master and transactional data objects. The interactions are correlated in controlled ways to enable non-uniform distributions for data and relationships. For benchmarking data integration, the generated data is stored in two interrelated databases. The dataset can be arbitrarily scaled and allows comprehensive graph-and pattern-based analysis.
doi:10.1007/978-3-319-20233-4_13 fatcat:j7peqwkv4fd3bn6va4uqayxlce