There are many DBMS options from a wide variety of vendors, from server-based systems like Oracle and SQL Server, to desktop database management systems, such as Access and FileMaker.
- [Instructor] Relational database management systems come…in a wide variety of shapes and sizes…to suit a wide variety of uses.…There are a lot of solutions on the market today…and each one has its advantages and disadvantages.…I'm not going to go into a lengthy comparison…of every available system here, but I do think…it's important to hit on some of the major players…in the space so that you have a basic…familiarity with their names.…The systems available can generally…be broken down into two categories:…those that run on a large server environment…and smaller databases designed to run…on your computer's desktop.…
The server variety tend to be more robust…and are able to handle more simultaneous users…and are capable of faster reads and writes…to the underlying data tables.…Some of the major players in this space…include Microsoft SQL Server, Oracle,…IBM's DB2, PostgreSQL, and MySQL.…PostgreSQL and MySQL are both open source projects…which are free to install and use.…MySQL specifically has found widespread adoption…
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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