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Database Management Systems
Politecnico di Torino – School of Information Engineering
Master of Science in Computer Engineering
Practice 5
SQL Server 2005
Duration: 2 weeks
1. Introduction
The practice purpose is to design a data warehouse that addresses the issues described in the
following.
● Use Microsoft SQL Server 2005 and Visual Studio 2005 to create the needed tables and cubes.
● Name the tables, cubes and projects using your own student ID number.
● The SQL Server 2005 hostname is CCLIX3.
● The source data base name is Stab1 on CCLIX3.
2. Problem specifications
The management of a chain of Italian seaside resorts wants to analyze the number of rented items in
their seaside resorts. Currently, there is a separate operational database for each seaside resort and
the management is not able to compare the number of rented items and the net income of the
seaside resorts. Each operational database only stores the information about the number of rented
items (beach umbrellas, sun beds, etc.) for one seaside resort and the price paid by clients to rent the
items.
The operational database of one seaside resort is Stab1 and its schema is reported in Figure 1.
The management of the company needs a data warehouse to analyze the net income and the number
of rented items for every seaside resort and compare them. The management frequently performs
the following analyses.
● Monthly net income for each province and region of the seaside resorts.
● Quarterly net income for each province and region of the seaside resorts.
● Yearly net income for each province and region of the seaside resorts.
● Monthly, quarterly, four-monthly and yearly net income for each category of rented items.
● Monthly, quarterly, four-monthly and yearly net income for each category of rented items,
detailed for region and province of the seaside resorts.
● Number of rented items per month, quarter, four-month period and year for each category of
rented items.
● Number of monthly, quarterly, four-monthly and yearly rented items for each province and
region of the seaside resorts.
The database Stab1, stored on CCLIX3 server, is the operational databases of one seaside resort.
During the practice the following steps should be executed:
 Analyze the schema in order to under stand which kind of data are stored in the operational
database Stab1 of the seaside resort (source of the data warehouse that should be created).
 Design a data warehouse to manage the issues described above.
 Write scripts to create the tables of the data warehouse. The name of the data should be
defined with the prefix DW followed by the student id (e.g., student id: s12345, data
warehouse name: DWs12345).
3. Data loading (ETL)
Execute the ETL process to load data from the Stab1 source data base to the data warehouse you
designed in Point 2. Key steps of the ETL process are the following:
Creation of a temporary staging table and loading data
o create a temporary staging table in the database into the data warehouse.
o load into the staging table the data from Stab1 using proper aggregations, so that data
of the staging table can be used to successively feed the data warehouse dimensions
and facts, without needing the original Stab1 data base.
Data loading into dimension tables
o Load the data into the dimension tables. The source data are retrieved by querying
the temporary staging table defined in the previous step.
Data loading into fact table
o after the data loading into the dimension tables, load the data into the fact table.
During the practice the following steps should be executed:
 Use the Business Intelligence – Integration Services project of Visual Studio 2005 to design
a proper workflow to execute the ETL process.
4. Queries and cubes
Use the data warehouse created and fed in points 2 and 3 as source for the cubes creation.
In the following some of the query frequently executed are listed:
1. Analyze the net income for each pair (region, quarter), the total net income for each region
and the total net income for each quarter.
2. Analyze the net income for each pair (item category, month), the net income for each item
category (independently of the month) and the net income for each month (for all the item
categories).
3. Analyze the total number of rented items for each pair (item category, month). Moreover,
analyze the number of rented items for each category (independently of the month) and the
number of rented items for each month (for all the item categories).
During the practice the following steps should be executed:
 Use Microsoft Visual Studio 2005 (Analysis Services project) to create the cubes needed to
answer the proposed queries efficiently.
 Browse the cube data and structure by means of the graphical interface provided by
Microsoft Visual Studio (Analysis Services project).
5. Integration into Excel
During the practice the following steps should be executed:
 Exploit Microsoft Excel to browse the content of the cubes by using a pivot table.
Ite m K e y
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Figure 1 – ER Model of the source database (Stab1)
Figure 2 – Schema of the source database (Stab1)
….
C lie n t
T y p e o f ite m