Background data compression

Audio compression algorithms are implemented in software as audio codecs.
In both lossy and lossless compression, information redundancy is reduced, using methods such as:

1. coding
2. quantization
3. DCT and linear prediction to reduce the amount of information used to represent the uncompressed data

Compression reduces the amount of physical storage required for a volume by combining data blocks in compression groups, each of which is stored as a single ..

A compression ratio expresses the amount of data that has been saved by compressing.
A 10x ratio would mean that 100 GB of data is compressed down to 10 GB of data.
We can discover this value by dividing the initial data size by the compressed data size, so 100/10 in the case above.
How Does Data Compression Work in a PostgreSQL Database? .

Data compression has a side effect for secret services: using compression some encryption is achieved because the lack of redundancy in a compressed file removes the opportunity to use statistical regularities to break a code

Some schemes generally change their coding after each character is transmitted, so the codebreaker's task is compounded

The review has been summarized by dropping a new outlook for researchers in the realm of image compression

In this modern era of big data, the data size issue is a big concern

Because of limited memory space & channel bandwidth, data compression is required to diminish the size of the files required to be stored or transmitted