At this point, the initial construction documents for the database are complete, and it’s time to move into the specific relational database management system.
- [Instructor] At this point, you've completed…the initial construction documents…for your database and are ready to move on…to your specific relational database management system.…There is still a lot of work to do before…the database is up and running, however.…If you return to the database development lifecycle,…you'll see that we're only about halfway through…the development process, with the major steps…of construction, implementation and maintenance still…to come, but you should have a solid blueprint…in place that you can feel confident will lead…to a successful database that meets…the requirements originally outlined…in the early requirement-gathering phase…and formalized in the mission statement.…
Now I've said this a couple of times along the way,…but it definitely is worth repeating.…It's important to remember that the lifecycle…isn't strictly a one-way street.…Sometimes, you'll get into constructing…your database objects or the DBMS…and stumble upon an issue…that wasn't considered or identified.…You might need to return to an earlier step…
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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