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Home » Questions: 1. Create a dimensional model containing an aggregated fact table of the summary of daily revenue amount for each officer. 2. Populate the tables created in 2 with the data from the tables in Figure 4.

Questions: 1. Create a dimensional model containing an aggregated fact table of the summary of daily revenue amount for each officer. 2. Populate the tables created in 2 with the data from the tables in Figure 4.

MSITM-6301 Business Data Warehousing

 

Homework 5 – Data Modeling

 

Exercise 1

 

Consider the following scenario involving the City Police Department.

 

The City Police Department wants to create an analytical database to analyze its ticket revenue. The two available data sources, Source 1 and Source 2, are described below.

 

The data warehouse must enable an analysis of ticket revenues by:

 

· date, including:

 

· full date

 

· day of week

 

· day of month

 

· month

 

· quarter

 

· year

 

· officer, including:

 

· officer ID

 

· officer name

 

· officer rank

 

· payer of the ticket, including:

 

· payer DLN

 

· payer name

 

· payer gender

 

· payer birth year

 

· vehicle, including:

 

· vehicle LPN

 

· vehicle make

 

· vehicle model

 

· vehicle year

 

· vehicle owner DLN

 

· vehicle owner name

 

· vehicle owner gender

 

· vehicle owner birth year

 

· ticket type, including:

 

· ticket category (driving or parking)

 

· ticket violation

 

· ticket fee

 

A diagram of a company  Description automatically generated

 

Figure 1: Source 1 The City Police Department Ticketed Violations Database

 

A table with numbers and text  Description automatically generated

 

Figure 2: Source 2 The DMV Vehicle Registration Table

 

A diagram of a vehicle with text  Description automatically generated

 

Figure 3:Ticket Revenue Database Tables

 

 

 

Figure 4: Ticket Revenue Populated DB Tables

 

Questions:

 

1. Create a dimensional model containing an aggregated fact table of the summary of daily revenue amount for each officer.

 

2. Populate the tables created in 2 with the data from the tables in Figure 4.

 

Exercise 2

 

Consider the following scenario involving Big Z Inc., an automotive products wholesaler.

 

Big Z Inc. wants to create the analytical database (data warehouse) to analyze its order quantities. The two available data sources, Figure 5: Source 1 The Big Z Inc. Orders Database and Figure 6: Source 2 The Big Z Inc Human Resources Department Table, are described below.

 

The data warehouse must enable an analysis of order quantities by:

 

· date, including:

 

· full date

 

· day of week

 

· day of month

 

· month

 

· quarter

 

· year

 

· time

 

· product, including:

 

· product ID

 

· product name

 

· product type

 

· product supplier name

 

· customer, including:

 

· customer ID

 

· customer name

 

· customer type

 

· customer zip

 

· depot, including:

 

· depot ID

 

· depot size

 

· depot zip

 

· order clerk, including:

 

· order clerk ID

 

· order clerk name

 

· order clerk title

 

· order clerk education level

 

· order clerk year of hire

 

A diagram of a product  Description automatically generated

 

Figure 5: Source 1 The Big Z Inc. Orders Database

 

A close-up of a sign  Description automatically generated

 

Figure 6: Source 2 The Big Z Inc Human Resources Department Table

 

Questions:

 

1. Based on the sources and requirements listed above, create a dimensional model that will be used for the dimensionally modeled data warehouse for Big Z Inc.

 

Source: Jukić, N., Vrbsky, S., Nestorov, S., & Sharma, A. (n.d.). Database Systems. Retrieved from https://platform.virdocs.com/read/1582944/16/#/4/2[ch08]/44/4/14[fig0841]/2

 

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