1. Match the columns:

    1. information package

    2. fact table

    3. case tools

    4. dimension hierarchies

    5. dimension table

    6. degenerate dimensions

    7. profit margin percentage

    8. data granularity

    9. STAR schema

    10. customer demographics

    1. enable drill-down

    2. reference numbers

    3. level of detail

    4. users understand easily

    5. semiadditive

    6. STAR schema components

    7. used for dimensional modeling

    8. dimension attribute

    9. contains metrics

    10. wide

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Get DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.