Ted Dunning is the Chief Applications Architect at MapR Technologies. He has authored short books on real-world Hadoop, time series databases, anomaly detection, and recommendations. The document discusses how to generate realistic simulated data for testing anomaly detection and fraud analytics systems while keeping the actual customer data private. It describes parametric simulation techniques to match key performance indicators and failure modes rather than precise data distributions in order to emulate complex behaviors and test detection algorithms. Various statistical and database methods are presented for generating different types of numeric, symbolic, and behavioral data.