Question

Describe a star schema.

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Describe the data warehousing process.

Describe the five categories in Microstrategy’s product.

Answer 1

Describe a star schema.

Answer:

A star schema is a data warehousing architecture model where one fact table references multiple dimension tables, which, when viewed as a diagram, looks like a star with the fact table in the center and the dimension tables radiating from it. It is the simplest among the data warehousing schemas and is currently in wide use

The star schema is the simplest form of a dimensional model used in business intelligence and data warehousing wherein data is arranged in dimensions and facts. In the star schema, there is a single fact table, which is usually expressed in the third normal form (3NF), and multiple de-normalized dimension tables connected to it, radiating out like the points of a star. The star schema has been optimized for querying large data sets and is generally used in data marts and warehouses in order to support OLAP cubes, ad hoc queries, analytic applications and business intelligence.

The fact tables in a star schema usually have two columns: the first is for the foreign keys pointing to the dimension tables, and the second is for the measures that contain numeric facts, hence, the name fact table. The dimension tables are actually structures that are usually composed of multiple hierarchies that categorize data.

Describe the data warehousing process.

Answer:

The data warehousing process consists of the following steps:

1.   Data are imported from various internal and external sources.

2.   Data are cleansed and organized consistently with the organization’s needs.

3.   a.         Data are loaded into the enterprise data warehouse, or

      b.         Data are loaded into data marts.

4.   a.         If desired, data marts are created as subsets of the EDW, or

      b.         The data marts are consolidated into the EDW.

5.         Analyses are performed as needed