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Price: Free |
This white paper examines how data is structured and characteristics such as the data model depth, the data volumes and the data complexity. Using these characteristics it is possible to look at the effects on the development of reporting structures, the types of data models used in data warehouses, the design and build of interfaces (especially ETL for data warehouses), data quality and query performance. Once the effects are understood it is possible for programs and projects to reduce (but never remove) the impact of these characteristics resulting in cost savings for the business.