what built in architecture techniques promote data integrity by ensuring that data is kept accurate and consistent across multiple systems. This includes validating data before it is entered into the system, implementing redundancies and backups, and using encryption and other security measures to protect data from unauthorized access.
Additionally, data integrity is maintained by providing users with access control mechanisms and user authentication features, as well as monitoring data access and usage to detect any suspicious activity.
Q1: What is data integrity in architecture?
Data integrity in architecture refers to the accuracy and consistency of data across multiple systems. It is achieved through measures such as validating data before it is entered into the system, implementing redundancies and backups, and using encryption and other security measures to protect data from unauthorized access.
Q2: What techniques are used to ensure data integrity?
Techniques used to ensure data integrity include validating data before it is entered into the system, implementing redundancies and backups, and using encryption and other security measures to protect data from unauthorized access.
Additionally, user authentication features, access control mechanisms, and monitoring data access and usage can be employed to further protect the data from unauthorized access and misuse.
Q3: What is the importance of data integrity?
The importance of data integrity lies in its ability to ensure the accuracy and consistency of data across multiple systems. This prevents data loss and ensures that data is available when needed. Furthermore, data integrity ensures that data is protected from unauthorized access and misuse.
Q4: What is the purpose of data integrity?
The purpose of data integrity is to ensure the accuracy and consistency of data across multiple systems. This prevents data loss and ensures that data is available when needed. Additionally, data integrity helps protect data from unauthorized access and misuse.
Q5: How do you maintain data integrity?
Data integrity can be maintained by validating data before it is entered into the system, implementing redundancies and backups, and using encryption and other security measures to protect data from unauthorized access.
Additionally, user authentication features, access control mechanisms, and monitoring data access and usage can be employed to further protect the data from unauthorized access and misuse.
