This course will introduce students to the various skills and techniques that are used to model relational databases.
Data modeling is a process used to define and analyze the data requirements in an IT project with the end result being a data model that can accurately describe the structure, manipulation and integrity aspects of the data stored within relational databases.
Students will be introduced to the data modeling techniques and methodologies that are used to build the conceptual, logical and physical schemas in a technology agnostic manner that will define the data elements along with the structures and relationships between them.
This course is for both business and IT professionals including business analysts, database developers and administrators, software developers, data warehouse and business intelligence developers, and project managers.
- This course does not have prerequisites, students must however meet the recommendations and requirements in the Notes section along with any proficiencies identified below.
Courses are instructor-led, face-to-face and may be delivered in three formats:
- In Class - all classes are taught in a computer lab.
- Online - all classes are taught synchronously in real-time.
- Blended - delivery is both in a computer lab and synchronously online, alternating weekly.
It is the students responsibility to carefully read the course section content below to know which delivery options are available for the course they are registering into.
- Registrations within 24 hours of course start time must be made by phone (403-220-2988).
Top of Page
Course Level Learning Outcomes
- Understand basics of the DAMA DM-BOK guidelines for Data Modeling
- Create three distinct levels of data models
- Apply data modeling skills to practical situations
- Create physical data base designs from logical conceptual data models
Topics of Instruction
- Introduction to the practice of data modeling
- Reasons to create data models
- The conceptual data model
- The logical data model
- The physical data model
- Relationships & Data Integrity
- Data model patterns & the normal forms
- The dimensional data model
Top of Page
Recommendations and Requirements
Courses are 30 hours and are scheduled to be completed in either 5 weeks or 10 weeks. Generally, 5 week courses have two classes per week, and 10 week courses have one class per week.
Courses may be delivered in class, online, or blended (both in class and online). All delivery formats will use Desire2Learn (D2L) and Adobe Connect Meeting (ACM) tools to varying degrees and it is the students responsibility to ensure they are comfortable with these tools prior to the start of the first class.
Students are encouraged to read Student Online Learning Resources to determine the delivery format that will best meet their learning needs.
- Students familiar with D2L and ACM from previous course work, require no further introduction to these learning tools.
- Students who register into an in class only course section and who are unfamiliar with D2L and ACM learning tools are recommended to take the necessary time to fully explore these learning tools prior to the start of class.
- Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.
For online and blended delivery, students should have access to their own computer with required software, Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors). Students should test their environment prior to the start of class to ensure everything is working properly.
It is strongly recommended that students attend every class. It is the responsibility of the student to communicate potential absenteeism to the instructor.
Top of Page