concept

Data Redundancy

Data redundancy is a fundamental concept in data management and storage systems where the same piece of data is stored in multiple locations or copies. It is intentionally implemented to ensure data availability, reliability, and fault tolerance in case of hardware failures, data corruption, or other disruptions. While redundancy increases storage costs, it is crucial for maintaining business continuity and data integrity in critical systems.

Also known as: Data duplication, Redundant data storage, Data replication, Backup copies, Mirroring
🧊Why learn Data Redundancy?

Developers should implement data redundancy when building systems that require high availability, disaster recovery, or data protection, such as financial applications, healthcare systems, or e-commerce platforms. It is essential for preventing data loss, enabling failover mechanisms, and meeting regulatory compliance requirements like GDPR or HIPAA. Redundancy strategies like RAID, replication, or backup solutions are commonly used in databases, cloud storage, and distributed systems.

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