DAD-220 has students learn to create structured database environments that incorporate basic processing functionality and allow for data management, data manipulation, and data analysis. Students construct and analyze queries to address data requirements, covering relational database models, normalization, and SQL querying using frameworks like Entity-Relationship (ER) modeling and tools like MySQL and Microsoft Access, with an emphasis on data integrity and security.
Relational database design from the ground up
The course starts with foundational relational database concepts — how data is structured into tables and relationships, and how normalization eliminates redundancy — building the design literacy needed before writing any queries.
Hands-on SQL and real database tools
DAD-220 pairs conceptual database design with hands-on use of real tools like MySQL and Microsoft Access, ensuring students can actually construct and analyze queries, not just understand database theory abstractly.
Key topics in DAD220
- Relational database models
- Database normalization
- Entity-Relationship (ER) modeling
- SQL querying fundamentals
- Data integrity and security
- Hands-on use of MySQL and Microsoft Access
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Worked example: normalization preventing data redundancy
- Unnormalized design: A single table storing customer information repeated across every order they place
- Normalized design: Customer information stored once in its own table, linked to orders through a relationship
- Lesson: DAD-220 teaches that normalization prevents this kind of redundancy, reducing errors and making the database easier to maintain accurately
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SNHU DAD-220 introduction to structured database environments assignments.
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Frequently asked questions
A poorly structured, unnormalized database — one with redundant, duplicated data spread inconsistently across tables — makes queries more complicated, error-prone, and harder to maintain accurately over time, so learning to design a properly normalized relational structure first ensures that subsequent querying work is built on a sound foundation. DAD-220 covers normalization before advanced querying because good query results depend heavily on good underlying database design.
MySQL and Microsoft Access represent genuinely different approaches to database management — Access offers a more visual, accessible interface often used for smaller-scale business applications, while MySQL is a more powerful, widely used database system common in professional and enterprise settings — and exposure to both gives students a broader, more transferable practical skill set. DAD-220 uses multiple tools because real-world database work involves encountering different database platforms, and comfort with more than one increases genuine job readiness.