September 2001
Beginner
544 pages
17h 43m
English
Content preview from DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals
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10.8. EXERCISES
Match the columns:
information package
fact table
case tools
dimension hierarchies
dimension table
degenerate dimensions
profit margin percentage
data granularity
STAR schema
customer demographics
enable drill-down
reference numbers
level of detail
users understand easily
semiadditive
STAR schema components
used for dimensional modeling
dimension attribute
contains metrics
wide
Refer back to the information package given for a hotel chain in Chapter 5 (Figure 5-6). Use this information package and design a STAR schema.
What is a factless fact table? Design a simple STAR schema with a factless fact table to track patients in a hospital by diagnostic procedures and time.
You are the data design specialist on the data warehouse project team for a manufacturing company. Design a STAR schema to track the production quantities. Production quantities are normally analyzed along the business dimensions of product, time, parts used, production facility, and production run. State your assumptions.
a STAR schema to track the shipments for a distribution company, the following dimension tables are found: (I) time, (2) customer ship-to, (3) ship-from, (4) product, (5) type of deal, and (6) mode of shipment. Review these dimensions and list the possible attributes for each of the dimension tables. Also, designate a primary key for each table.
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