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Chapter 3 - Inventory

Date post: 30-Nov-2014
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This is a group assignment by my students on Chapter 3 Inventory of the book The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling By Ralph Kimball, Margy Ross
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Page 1: Chapter 3 - Inventory
Page 2: Chapter 3 - Inventory

OUTLINE

• DATA WAREHOUSE BUS ARCHITECTURE

• CONFORMED DIMENSIONS• CONFORMED FACTS• Q&A

Page 3: Chapter 3 - Inventory

DATA WAREHOUSE BUS ARCHITECTURE

• A bus is a common structure to which everything connects and from which everything derives power.

• A standard for integrating the separate data marts together.• Separate data marts can be implemented by different groups at different

times.

Page 4: Chapter 3 - Inventory

DATA WAREHOUSE BUS ARCHITECTURE

• Value chain will create a family of dimensional models that share a comprehensive set of common, conformed dimensions.

Page 5: Chapter 3 - Inventory

DATA WAREHOUSE BUS ARCHITECTURE

• The Bus matrix helps prioritize which dimensions should be tackled first for conformity given their prominent roles.

• Rows is correspond to the data marts, columns represent the common dimensions.

Page 6: Chapter 3 - Inventory

WHY USE BUS ARCHITECTURE?

• Efficiency• Standards enforcement• Tightly Integrated Data Marts• Reporting enhancement• Expandability

Page 7: Chapter 3 - Inventory

CONFORMED DIMENSIONS

• What is dimension? - a data set composed of individual, non-overlapping data elements - commonly used dimension : date, customer, product - customer dimension’s attributes : first & last name, birth date, gender, etc. - contains a hierarchy of attributes

Date dimension : year > quarter > month > week > date

- Going up a level in the hierarchy is called rolling up the data. - Going down a level in the hierarchy is called drilling down the data.

Page 8: Chapter 3 - Inventory

CONFORMED DIMENSIONS

• Conformed dimensions - A dimension that has the same values for all areas of the business - Common conformed dimension : time dimension - Can exist as a single dimension table, relates to multiple fact tables - Time : identical to all fact tables

Page 9: Chapter 3 - Inventory

CONFORMED FACTS

• A shared fact that is designed to be used in the same way across multiple data marts

• Often, different departments use the same term in different ways.• For example, ‘Revenue’ in Sales Dept. might be the same as ‘Profit’ in

Marketing Dept.• Sometimes, a fact has a natural unit of measure in one fact table and

another natural unit of measure in another fact table• Company need to compare the conformed fact in both units of measure.

Page 10: Chapter 3 - Inventory

QUESTIONS?


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