Applying Statistical Models for The Sample Data Production Process of Data Warehouse

For data warehouse and OLAP (On-Line Analytical Processing) systems various preparation tasks are necessary to qualify and improve the effectiveness of their usage. In order to put into operation such a task the creation of statistical sound sample data is indispensable. Applying statistical models for the generation of sample data promises a high-quality prospect which allows the production of sample data based on different usercontrollable statistical parameters. The sample data, which follows the defined statistical requirements, can be conveniently used for testing, benchmarking, demonstrating and training in the fields of data warehouse. In this paper, we address the activities of generation sample data; classify the generating methods and using BEDAWA [3] tool as illustration purposing to generate sample data. Furthermore, we discuss the uses of sample data in the field of data warehouse.