Simulation | Sample Use Cases | Open Analytics Framework on VantageCloud Lake - Simulation - Teradata Vantage

Use case: You want to simulate a process or phenomenon.

Simulation is a common analytical task to study, understand and model the mechanisms that govern a process. A simulation analysis can be scaled and performed very efficiently, if data can be partitioned into groups and simulation iterations executed in parallel.

This use case is a simple example of simulating waiting lines. It investigates the number of physical store customers that might renege and leave while waiting in a line. Specifically, over a period of eight hours, consider bank customers standing in line, and consider specific characteristics of the customers as parameters that determine the customer behavior while in line.

A Python script performs the analysis with this input, in addition to reading rows of random seeds to run a series of simulation iterations. The simulation iterations produce rows with different numbers of customers that waited in line within the 8-hour window, and the corresponding number of customers that reneged and left the line in the same time period.

• Setting Up and Managing the User Environment
• Installing the Python Script File
• Running Simulation Analysis with APPLY Table Operator
• Cleaning Up