Data Compression

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The term data compression identifies reducing the number of bits of information that should be saved or transmitted. This can be done with or without the loss of data, so what will be removed during the compression will be either redundant data or unneeded one. When the data is uncompressed afterwards, in the first case the information and the quality shall be identical, whereas in the second case the quality shall be worse. You will find various compression algorithms which are more efficient for different kind of information. Compressing and uncompressing data generally takes plenty of processing time, so the server carrying out the action needs to have adequate resources to be able to process the info fast enough. A simple example how information can be compressed is to store how many consecutive positions should have 1 and just how many should have 0 in the binary code instead of storing the particular 1s and 0s.

Data Compression in Cloud Hosting

The cloud internet hosting platform where your cloud hosting account is generated employs the impressive ZFS file system. The LZ4 compression method which the aforementioned employs is superior in lots of aspects, and not only does it compress data better than any compression method that a number of other file systems use, but it is also considerably quicker. The benefits can be significant in particular on compressible content like website files. Despite the fact that it could sound irrational, uncompressing data with LZ4 is quicker than reading uncompressed data from a hard disk, so the performance of each and every site hosted on our servers will be enhanced. The better and faster compression rates also make it possible for us to produce a large number of daily backups of the full content in every single hosting account, so if you delete something by accident, the last backup that we have won't be more than a couple of hours old. This is possible because the backups take considerably less space and their generation is fast enough, so as to not influence the performance of our servers.