Data Deduplication
Data deduplication is a data compression technique that eliminates redundant copies of data to reduce storage requirements and improve efficiency. It works by identifying and removing duplicate data blocks or files, storing only unique instances and referencing them where needed. This process is widely used in backup systems, cloud storage, and data management to optimize resource usage.
Developers should learn data deduplication when building or optimizing storage-intensive applications, such as backup solutions, cloud services, or big data systems, to cut costs and enhance performance. It is crucial in scenarios like reducing backup storage footprints, accelerating data transfers, and managing large datasets in environments like Hadoop or data lakes, where redundancy is common.