The document describes the creation of a relational database with tables for pet and owner information. The pet table has columns for ID, name, address, postcode, pet name, pet type, and age. The owner table links to the pet table using a foreign key to avoid duplicating owner data. Forms and reports were also created to allow adding new owners and viewing pets over 12 years old.

1. Relationship Database
I created a table called pet database with 7 columns/fields. ID is the primary key. On
Postcode I used an Input mask to validate the information inputted into the table. The
datatypes for Name, Address, Postcode, Pet Name and Pet Type are text but as for age is
a number as it only uses numbers. This is a relational Database.
An entity is any object in the system that we want to model and store information about.
Entities are usually recognizable concepts, either concrete or abstract, such as person,
places, things, or events which have relevance to the database. The first entity is owner
and the second is the pet.
I’ve added 3 records to my table
The problem is that information is duplicated
IT7 Miss Jardine Danny Allen

2. Relationship Database
I created a 2nd
table and created a Primary Key. I then linked a foreign ID with the owner
ID to make a relationship between each table
I added a form to be able to easily add a new Owner to the list
IT7 Miss Jardine Danny Allen

3. Relationship Database
I created multiple databases that display a certain type of information
This also works for owner ID’s
I have created a report which displays the information of my “Pets Aged over 12”
IT7 Miss Jardine Danny Allen