What are the different types of data redundancy?
An example of an AI chatbot conversation about types of data redundancy in databases.
What are the different types of data redundancy?
Data redundancy refers to the duplication of data within a database. The main types include: 1. Full Redundancy - Complete copies of data are stored. 2. Partial Redundancy - Only certain data is duplicated. 3. Controlled Redundancy - Data is duplicated for specific purposes, like backup.
Why is data redundancy important?
Data redundancy is important for data integrity, backup, and recovery. It ensures that data is not lost and can be restored in case of failure.
Can you give examples of controlled redundancy?
Sure! An example of controlled redundancy is having a backup server that stores copies of critical data, allowing for quick recovery in case of a primary server failure.
What are the downsides of data redundancy?
The downsides include increased storage costs, potential data inconsistency, and more complex data management.
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