What is data integrity in an organization and what are the techniques and solutions to ensure data integrity? And What is data integrity check and data integrity example and what is the difference between data confidentiality and data integrity?
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Data integrity refers to consistency, accuracy, completeness, and validity of organizational data throughout its entire lifecycle. Unless integrity of data is protect, it will be less useful to an organization and will be inadmissible in a court-of-law. especially if the data is sensitive and critical to the organization, security controls should be deployed in alignment with the security policy. Moreover, data integrity also refers to the safety of data in the regulatory compliance likewise GDPR (General Data protection regulation) compliance.
Data integrity is maintained by a collection of processes, rules and standards implemented during the design phase. When the integrity of data is protected, the information that may be stored in a database will remain complete, reliable and accurate regardless of its duration of storage and the frequency of access.
Types of data integrity may include the following categories:
- Physical integrity
- Logical integrity
- Entity integrity
- Referential integrity
- Domain integrity
- User defined integrity
Best methods to ensure data integrity include the following:
- Validate input
- Remove duplicate data
- Access controls
- Keep audit trial
- Backup data
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