Mastering Multidimensional Data Models and OLAP Cubes

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What is the purpose of flexible views in business intelligence?

To cater to users' different interests in the data generated.

What are multidimensional data models used for?

To arrange data in a multidimensional data space.

What is the focus of the OLAP cube model?

Business ratios as carriers of quantitative information.

What are the three different concepts for storing data in a DWH?

ROLAP, MOLAP, and HOLAP.

What are the two database structures used in the physical implementation of a multidimensional data model?

Star schema and snowflake schema.

Test your knowledge of multidimensional data models and OLAP cubes in this quiz. Learn about the importance of flexible views in business intelligence and how to arrange data in a multidimensional data space. Explore the role of business ratios and dimensions in the OLAP cube model.

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