data compression

Why is Data Compression Important?


The increasing volume of epidemiological data necessitates efficient data management solutions. Compression helps in:
Reducing Storage Requirements: Compressed data takes up less space, making it easier to store large datasets.
Enhancing Data Transmission: Smaller data sizes can be transmitted more quickly over networks, facilitating faster sharing of information.
Optimizing Computational Resources: Compressed data can speed up processing times, enabling more rapid analysis and decision-making.

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