IT-FPX2230 introduces relational database concepts, covering both the theoretical design principles and the practical query skills needed to work with structured data.
Relational database design principles
IT-FPX2230 covers relational database design fundamentals, including normalization, entity-relationship modeling, and the reasoning behind well-structured database schema design.
Foundational query skills
The course covers foundational SQL query skills, building the practical ability to retrieve and manipulate data stored in a relational database structure.
Key topics in IT-FPX2230
- Relational database design fundamentals
- Normalization and entity-relationship modeling
- Foundational SQL query skills
- Primary and foreign key relationships
- Database schema design reasoning
- Common database design mistakes and how to avoid them
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Worked example: normalization avoiding data redundancy
- Poor design: Storing a customer's full address repeatedly in every order record
- Normalized design: Storing customer information once in a separate table, referenced by orders through a foreign key relationship
- Benefit: Updating a customer's address requires changing it in one place, not searching for every order record containing that customer's data
- Lesson: Normalization principles exist specifically to prevent the data redundancy and update inconsistency problems that poor database design creates
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Frequently asked questions
When the same information (like a customer's address) is stored redundantly across many records, updating that information later requires finding and changing every single instance where it appears — miss even one, and the database now contains contradictory, inconsistent versions of what should be the same fact. IT-FPX2230 teaches normalization specifically because it solves this problem by storing each piece of information in exactly one place and referencing it elsewhere through relationships, meaning an update only needs to happen once and every part of the database referencing that information immediately reflects the change.
Database design theory (normalization, entity-relationship modeling) explains how to structure a database so it's efficient, consistent, and free of the redundancy problems described above, while SQL query skills provide the practical ability to actually retrieve and work with the data stored in that well-designed structure — knowing good design principles without being able to write queries leaves a student unable to actually use a database, while knowing queries without design principles leaves a student unable to build a database that queries efficiently in the first place. IT-FPX2230 teaches both together because genuine database competency requires understanding how to both design and effectively work with a relational database.