What is cold data?
In the parlance of today's IT community, cold data is data that is not frequently accessed or actively used. It is data that is collected in a virtual container and kept for a long time without being accessed, analyzed or transferred to any other part of the system.
Working with cold data, as opposed to warm or hot data, involves some specific philosophies. In general, cold data is easier to handle because there are not as many needs for synchronized results or immediate input / output processes to be considered. When storing refrigerated containers, a permanent archive is often set up - a place where data can be kept safe over the long term, but where it is available when it is needed.
Some experts create certain cold data thresholds, such as: B. Dates that are inactive between 91 and 180 days, or dates that are longer than six months or a year. In many cases where data is immobile, the associated results are less labor intensive and a company or professional may choose not to perform certain tasks because they are not necessary. Sometimes administrators use metrics such as 'last used' to assess the frequency of data activity. Organizations can use these metrics as part of research to erase old data to make room in finite storage systems.