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RAID (Redundant Array of Independent Disks) combines multiple physical disk drives into a single logical unit for enhanced data reliability, availability, and performance. It acts as a safety net, storing backup copies of files across several hard drives or SSDs. If one drive fails, data remains safe on the other drives.
Different RAID levels offer various benefits:
In a Database Management System (DBMS), RAID ensures data remains accessible and secure even if individual drives fail, much like distributing parts of a favorite book among friends to prevent loss.
**RAID (Redundant Array of Independent Disks)** is a data storage technology that combines multiple physical disk drives into a single logical unit to improve performance, reliability, and storage capacity. Different RAID levels offer various benefits by distributing data across the drives in different ways.
**RAID Levels:**
1. **RAID 0 (Striping)**: Data is split into blocks and distributed across multiple disks. This increases performance but offers no redundancy; if one disk fails, all data is lost.
2. **RAID 1 (Mirroring)**: Data is copied identically to two or more disks. This provides high redundancy, as data is still available if one disk fails, but it requires double the storage capacity.
3. **RAID 5 (Striping with Parity)**: Data and parity (error correction) information are striped across three or more disks. If a disk fails, the data can be reconstructed using the parity information. It offers a good balance between performance, storage efficiency, and redundancy.
4. **RAID 6 (Striping with Double Parity)**: Similar to RAID 5 but with an additional parity block, allowing for the failure of two disks without data loss. It provides higher redundancy but at the cost of extra storage for parity.
5. **RAID 10 (1+0)**: Combines RAID 1 and RAID 0 by mirroring and striping data across multiple disks. It offers high performance and redundancy but requires a minimum of four disks and results in 50% usable storage capacity.
RAID technology is widely used in servers, data centers, and other critical applications where data integrity and performance are essential.