What is redundancy in data storage?
Redundancy in data storage refers to the practice of storing duplicate copies of data to ensure its availability and reliability.
Why is redundancy important for data integrity?
Redundancy is crucial for data integrity because it protects against data loss due to hardware failures, corruption, or disasters.
What are some common methods of implementing redundancy?
Common methods include RAID configurations, data mirroring, and cloud backups, each providing different levels of protection.
How does redundancy affect storage costs?
While redundancy increases storage costs due to additional hardware or services, it often saves money in the long run by preventing data loss.
Can you give examples of industries that rely on data redundancy?
Industries like finance, healthcare, and telecommunications heavily rely on data redundancy to ensure continuous operations and compliance.
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