1.1 Reliability & Integrity

by: Danny Ou

Definition and Purpose

Data integrity and reliability are referring to quality, security and safety of the data on your system.
Data people generate with their PCs store on their hard disks.

Pros & Cons

Reliability refers to the operation of hardware, the design of software, the accuracy of data or the
correspondence of data with the real world. Data may be unreliable if it has been entered incorrectly or if it
becomes outdated. The reliability of machines, software and data determines our confidence in their value.
Integrity refers to safeguarding the accuracy and completeness of stored data. Data lacks integrity when it
has been changed accidentally or tampered with. Examples of data losing integrity are where information is
duplicated in a relational database and only one copy is updated or where data entries have been maliciously
altered.

Another issue is that data integrity is positively correlated with 'safe' or 'conservative' designs. It means that all else being equal, a design with an established track record, using proven components from a major manufacturer, is likely to be safer for your data than a brand-new design using the very latest CPU and motherboard.made by a company that's been around less than a year. Emphasizing performace above all else increases the potential for problems, overclocking would be the ultimate example of this.