Plane answers to complex questions: the theory of linear models
Plane answers to complex questions: the theory of linear models
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A dimensional modeling manifesto
DBMS - Special issue on data warehousing
Building the Data Warehouse
Planning and Designing the Data Warehouse
Planning and Designing the Data Warehouse
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
Prototyping Data Warehouse Systems
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
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The generation of representative sample data for data werehouses for benchmarking, testing and presentation purposes is a challenging complex task. Difficulties often arise in producing familiar, complete and consistent sample data of any scale. Producing sample data manually often causes problems, which can be avoided by an automatic generation tool producing consistent and statistical plausible data. The data generated by the tool is based on the linear statistical model of a hierarchical n-way classification with fixed effects. We present and approach for a flexible generation fo "real world" sample data using the BEDAWA (BEnchmarks for DAta WArehouses) tool.