Because this course focuses on the fundamentals of planning a database, the only exercise file is a worksheet which helps guide you along the process of creating a database that meets your needs.
- [Instructor] Because this course is focusing on the fundamentals of planning a database, rather than implementing a specific variety of database software, there aren't any exercise files for this course. However, you can download the Table Design Worksheet, which we'll be using to organize our design blueprint as we progress through the course. I've added it to my desktop here. The worksheet will help us plan and design our database by structuring the requirements of each table. It gives us a place to make notes about key columns, data types, and other considerations that we'll get to know as we progress through the course content.
If you don't have access to the worksheet, then no problem. You could follow along by taking notes and sketching your own diagrams. To get the most out of this course, I recommend that you follow along with your own database questions and needs in mind as we discuss the database planning process. Now let's get started.
Adam Wilbert covers the basics of relational database design, regardless of whether you use Access, FileMaker, Open Office, or SQL Server. Learn how to prevent data anomalies, gather requirements to plan your design, and develop a conceptual data model—translating your ideas into components like tables, relationships, queries, and views. Plus, learn about logical design considerations that can help you construct a database that is easy to maintain.
- What is a database management system (DBMS)?
- Moving through the database development cycle
- Preventing duplicate, inconsistent, and conflicting data entries
- Gathering requirements
- Developing relationships
- Identifying key fields
- Following a naming convention
- Developing the actual database
Skill Level Beginner
1. Relational Database Basics
Relational structures3m 46s
2. Preventing Data Anomalies
3. Gathering Requirements
4. Developing the Conceptual Data Model
5. Normalizing Your Data
6. Logical Design Considerations
7. Developing the Physical Database
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