The course is composed of a number of lectures, projects and exams.
The three lectures bring up the contents which is included in the course: MS SQL Server Business Intelligence Development Studio 2005, MS SQL Server Integration Services 2005, MS SQL Analysis Services 2005, star schemas, data warehousing, ETL, OLAP, Business Intelligence and MDX.
The two projects bring up practical tasks within the contents of the course.
The three exams bring up theoretical tasks within the contents of the course split up into three parts.
The overall aim of the course is to provide an understanding of how data warehousing can be used to collect data from several separate information sources for uniform analysis in multidimensional cubes in MS SQL Server 2005.
To pass, the student shall be able to do the following after a completed course:
- Describe how a relational database works.
- Describe how a multidimensional database works.
- Describe the concepts dimension, fact table, surrogate key, attribute relation, hierarchy, ETL, Star Schema, MDX, OLAP and Business Intelligence.
- Describe the available tools in MS Business Intelligence Development Studio 2005.
- Use MS SQL Server Integration Services 2005 to read data from source databases, transform the data and write it down in a Star Schema modeled database.
- Use MS SQL Server Analysis Services 2005 to create a multidimensional database.
- Build up logic in MS SQL Server Analyis Services 2005 to manage calculated members and actions.
- Use MDX-code to analyze data in MS SQL Server Analysis Services 2005.
For a higher grade, the student shall be able to do the following after a completed course:
- Give a thorough description of how a multidimensional database works.
- Identify appropriate strategies for management of history in continuous ETL-processes.• Identify benefits and disadvantages in using OLAP instead of OLTP.