Difference Between Data Security and Data Integrity

Data Security vs Data Integrity

Summary: Difference Between Data Security and Data Integrity is that DBMS provides means to ensure that only authorized users access data at permitted times. In addition, most DBMSs allow different levels of access privileges to be identified for each field in the database. These access privileges define the actions that a specific user or group of users can perform. While most organizations realize that data is one of their more valuable assets – because data is used to generate information. Many business transactions take less time when employees have instant access to information.

Data Security

A DBMS provides means to ensure that only authorized users access data at permitted times. In addition, most DBMSs allow different levels of access privileges to be identified for each field in the database. These access privileges define the actions that a specific user or group of users can perform. Access privileges for data involve establishing who can enter new data, modify existing data, delete unwanted data, and view data. Many organizations adopt the principle of least privilege policy, where users’ access privileges are limited to the lowest level necessary to perform required tasks.

Data Integrity

Most organizations realize that data is one of their more valuable assets – because data is used to generate information. Many business transactions take less time when employees have instant access to information. To ensure that data is accessible on demand, an organization must manage and protect its data just as it would any other resource. Thus, it is vital that the data has integrity and is kept secure.

For a computer to produce correct information, the data that is entered into a database must have integrity. Data integrity identifies the quality of the data. An erroneous student address in a student database is an example of incorrect data. When a database contains this type of error, it loses integrity. Data integrity is very important because computers and people use information to make decisions and take actions.

Garbage in, garbage out (GIGO) is a computing phrase that points out the accuracy of a computer’s output depends on the accuracy of the input. If you enter incorrect data into a computer (garbage in), the computer will produce incorrect information (garbage out).

Also Read:

Difference Between Web Application and Web Services