All relational databases rely on storing data about the real world in a series of simple two-dimensional data tables, where columns represent attributes and rows are individual records that will be stored.
- [Instructor] At their core, all relational databases…rely on storing data about the real world…in a series of simple two-dimensional data tables.…These tables are organized in to a series of cells,…grouped in to horizontal rows and vertical columns,…just like what you're probably used to…from using Microsoft Excel or Apple Numbers.…These rows and columns go by different names…in different database systems,…and it's not uncommon to hear people…interchange them in conversation,…but they all mean essentially the same thing.…The vertical columns sometimes go…by the names attributes, values, or fields,…and they store a single piece of information…such as the first name or the last name…of the employees in your organization.…
The horizontal rows most commonly go by the name records,…and every record is made up of a series of values…stored in the intersecting columns.…While every record in the table…has an identical structure horizontally,…each record represents a single entity…such as an individual employee or a single product.…
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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