Data compression is the compacting of info by lowering the number of bits which are stored or transmitted. As a result, the compressed info will need substantially less disk space than the initial one, so a lot more content can be stored using the same amount of space. You'll find different compression algorithms that function in different ways and with a lot of them only the redundant bits are removed, therefore once the information is uncompressed, there's no loss of quality. Others delete unneeded bits, but uncompressing the data subsequently will result in lower quality compared to the original. Compressing and uncompressing content consumes a large amount of system resources, especially CPU processing time, so each and every hosting platform which employs compression in real time needs to have adequate power to support that attribute. An example how data can be compressed is to replace a binary code such as 111111 with 6x1 i.e. "remembering" what number of sequential 1s or 0s there should be instead of storing the whole code.