Data integrity is the phrase used to describe accuracy and reliability of data. Data should always be accurate, consistent, reliable and up-to-date. It must not have any variations. Why is data integrity so important?
Compromised data integrity often happens. Sometimes data is handled improperly. If data is compromised it’s critical to identify and address the sources of damage quickly especially in secure situations. For example, university databases contain grades and credits of students. Information must be entered accurately and up-to-date. Businesses rely on data information for evaluating trends. Their success relies on accurately entered and contained data. Data integrity is also important because it effects the reporting of data for customers or other businesses.
Database storage problems
Data is entered and stored in databases. Human error is often the cause of problems with data integrity. People enter data inaccurately or inconsistently. Whenever data is moved around or updated, comprise may occur. Transferring or copying data may be mishandled which then may cause inconsistency of data between files or references to a file. Computer problems can often lead to overwrites of the data. Viruses can be attack the data integrity. Data integrity requires no changes or mishandling of data.
Rules of data integrity
Rules applied to table columns to ensure different types of data integrity.
Importance of data integrity
Maintaining data integrity cannot be overstated. Every organization relies upon the integrity of its data. To maintain data integrity, there are several things that businesses or companies can do.
Enforcing data integrity will guarantee reliable data in your database. Data integrity assures you that information will be accessed by authorized individuals. To ensure data integrity restricts access to data, maintain consistent practices or entreaty and updates. Guard against environmental hazards such as heat, dust or electric surges.