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Data Integrity Awareness

What are the 5 principles of data integrity?
The acronym 'ALCOA' defines that data should be Attributable, Legible, Contemporaneous, Original, and Accurate.
What are the 4 types of data integrity?
Within logical integrity, there are four sub-categories: domain, entity, referential, and user-defined integrity.
All are collections of rules and procedures which application programmers, system programmers, data processing managers, and internal auditors use to ensure accurate data.
What does data integrity mean?
Data Integrity Definition
Data integrity is a concept and process that ensures the accuracy, completeness, consistency, and validity of an organization's data.
By following the process, organizations not only ensure the integrity of the data but guarantee they have accurate and correct data in their database.
File Integrity Monitoring Definition
It examines the integrity of sensitive files, registry keys, and folders within the host operating system and checks whether files have been altered or compromised by tracking logs and comparing the current version to a known baseline.

Reviews: Amazing course to get the data integrity discussion started a must do for anyone working in a regulated environment. You need to have this course in Autres questions

Data Integrity Awareness

What are the 5 principles of data integrity?

What are the 4 types of data integrity?

What does data integrity mean?