Question
what is data redundancy and data integrity
Answers
GPT 3.5
Data redundancy refers to the unnecessary repetition or duplication of data in a database or dataset. This can occur when the same data is stored in multiple locations, leading to inefficiencies and potential inconsistencies. Redundant data can take up extra storage space and increase the risk of errors and inconsistencies.
On the other hand, data integrity refers to the accuracy, consistency, and reliability of data over its entire lifecycle. It ensures that data is complete, trustworthy, and secure, and is not subject to unauthorized access, modification, or deletion. Data integrity is essential for ensuring the quality and reliability of data for decision-making and analysis.
On the other hand, data integrity refers to the accuracy, consistency, and reliability of data over its entire lifecycle. It ensures that data is complete, trustworthy, and secure, and is not subject to unauthorized access, modification, or deletion. Data integrity is essential for ensuring the quality and reliability of data for decision-making and analysis.