|Course Name:||Introduction to Datawarehousing|
|Offered Date:||Winter - 2022 | Other versions|
The data warehousing marketplace continues to be one of the fastest growing areas of technology application. Whether it's used with CRM, ERP, e-Commerce, Financial Analysis, Sales Analysis or any of a large number of other disciplines, data warehousing has become an essential business tool for making informed decisions. This subject introduces students to data warehousing concepts. The subject uses a hands-on project to design and develop a data warehouse. Star schema fact tables and dimension tables will be examined. Multidimensional databases are emphasized as the students build on their database knowledge. A team project will be used to handle the process of moving data from an OLTP system to a DW with management reports through the cube and pivotal tables. Microsoft SQL server 2005 Analysis Services will be used to develop OLAP cubes and Microsoft Excel for OLAP reporting.
|Credit Status:||1 credit in the CPA/CPAC Programs|
|Mode of Instruction:||2 hours interactive lecture per week.
2 hours lab time per week.
1. Explain the goals of data warehousing
2. Create OLAP reports from the data cube using Excel
3. Explain accepted Datawarehouse terminology
4. Identify the stages of the data warehousing lifecycle
5. Denormalize relational tables into high level summary tables
6. Apply the star schema model to a business case problem
7. Compare star schema and snowflake schema
8. Design and Implement a multidimensional data cube using SQL Server Analysis Services
9. Create OLAP-enabled web pages
To obtain a credit in this subject, a student must:
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