What is a Database Schema? - Example & Definition

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  • 0:00 What Is a Database Schema?
  • 0:37 Schema Theory
  • 2:04 A Simple Database
  • 2:55 A Better Database
  • 3:46 A Useful Database
  • 7:03 Lesson Summary
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Lesson Transcript
Instructor: Louay Chebib

Louay is a Doctor of Management in Organizational Leadership with a Specialization in Information Systems and Technology

A database schema is the blueprint that defines the database structure. The schema tells the database engine, the program that runs the database, how to put and get information in a database. The schema provides the framework for the database operations and contents.

What Is a Database Schema?

Ever wonder how a database is able to store the information you give it, and give it back to you when you need it?

A database is a place to store information. Databases can store something as simple as a list of items or as complicated as all the data needed by a large company. Databases contain structured collections of information. The database schema contains the design or list of attributes and instructions that tells the database engine how the data is organized and how the components are related. Let's look a little closer at database schema.

Schema Theory

Schema theory is a bit complex, but let's go over a basic explanation and then look at a basic database example.

Under schema theory, knowledge is organized into units. Units of knowledge, or schemata, contain or store information. As such, a schema is a conceptual system for understanding knowledge or a generalized description of the knowledge. A schema contains a description of how knowledge is represented and how it's used.

The basic database unit is the table. A table is a unit consisting of rows of related information. Each row consists of fields of information where data is stored. Field attributes include information and rules that govern the data stored in the field. The field attributes and rules may limit the type of data stored in the field.

A field may be defined as a key or may be limited by rules requiring specific masks, such as a field may limited to dates, formatted numbers like telephone numbers, or be limited to a specific number of characters. The database schema contains these rules.

A database schema is best understood by the use of examples. In the following examples of database tables, the field names are listed in the headers, and the data contents (rows) are listed below the headers. In considering these examples, remember that the schema describes the attributes of the database; it does not include the data that the database contains.

A Simple Database

Consider your personal phonebook as a simple database example. The important information in a personal phonebook is a name and a phone number. This information may be kept in a list or table consisting of two fields: name and phone number. Sorting this list by name should help you quickly find the phone number you need. In these examples, the fields contain data (such as names and phone numbers). Some of the fields may be used as keys.

Simple Phonebook 1 Table

Name Phone Number
Aden K. Samson (555)234-1221
Joe Brown (555)234-1233
John Smith 234-1234
John White (Witty) (555)234-1236
Madge White (555)555-1234
Mickey M. (Diz) 888-1234
Zoe Snow (Red) (555)919-2234

The schema for this simple database describes a single table. This table has fields intended to store names and phone numbers. In this database, there is one table: Simple Phonebook 1 Table. This table has two fields: name and phone number. There is no specific indication, but either field may be a sort key. A sort key allows the database engine to quickly sort the table into a specific order.

A Better Database

The structure used in the previous simple database schema has its limits. In this database's table, all the name values are entered as first name and last name. What happens if you only remember the last name or nickname of the person you want to call? A better way is to separate the name into its components. Also, look at the phone numbers contained in the sample. Many of these entries do not have an area code. The following database design improves on the simple database by separating the data into their own fields.

Simple Phonebook 2 Table

Name-Last Name-Middle Name-First Name-Nick Phone-AreaCD Phone-Number
Aden K. Samson (Sam) (555) 234-1221
Joe Brown (555) 234-1233
John Smith 234-1234
John White (Witty) (555) 234-1236
Madge White (555) 555-1234
Mickey M. (Diz) 888-1234
Zoe Snow (Red) (555) 919-2234

The schema for this database again describes a single table: Simple Phonebook 2 Table. This table has six fields: name-last, name-middle, name-first, name-nick, phone-area-cd, phone-number. There is no specific indication, but any field may be a sort key.

A Useful Database

The structure used in the better database schema is much more useful since you can now sort your data into different ways depending on what you're looking for. But, what happens if someone has more than one phone number? You could keep adding phone number fields, or you could separate the phone numbers into their own table and associate these with the names using a linked key to associate the phone numbers with the names. A linked key is used to link entries in one table with the associated entries in another table.

In the following example, a new table is needed. The name-numbers x-ref table contains the information needed to associate the name information from the names table with the numbers information from the phone numbers table.

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