Data redundancy is defined as the storing of the same data in multiple locations.

An example of data redundancy is saving the same file five times to five different disks.Data redundancy is the repetition or superfluity of data. Data redundancy data is an common issue in computer data storage and database systems.

Data redundancy definition

Data redundancy is a condition created within a database or data storage technology in which the same piece of data is held in two separate places.

This can mean two different fields within a single database, or two different spots in multiple software environments or platforms. Whenever data is repeated, this basically constitutes data redundancy. This can occur by accident, but is also done deliberately for backup and recovery purposes.

Data redundancy in database means that some data fields are repeated in the database.

This data repetition may occur either if a field is repeated in two or more tables or if the field is repeated within the table.

Data can appear multiple times in a database for a variety of reasons. For example, a shop may have the same customer’s name appearing several times if that customer has bought several different products at different dates.Another example is:

For example

Jones, 48, Male, Teacher
Jones, 48, 3 Advent Drive
Jones, employee number 22345

As you can see in the records above, the name is repeated three times and the age is duplicated twice.