What is the primary purpose of data compression techniques in handling large data sets?
- To enhance data encryption and security
- To improve data integrity and consistency
- To increase data redundancy and fault tolerance
- To reduce storage space and improve data transfer speed
Data compression techniques in database systems primarily aim to reduce storage space and improve data transfer speed. By compressing data, the amount of disk space required to store large datasets is reduced, which can lead to cost savings and improved performance. Additionally, compressed data can be transmitted more quickly over networks, making data transfer more efficient.
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