Archiving data
Moving data no longer in everyday use to long-term storage so it is kept safely for a set retention period and can be retrieved later. It is not the same as a backup copy.
Understanding Archiving data in VCE Data Analytics U3O2
What it does: Archiving moves data that is no longer in everyday use to long-term storage. A backup is a duplicate copy of data still in use, so the two serve different purposes. A clear label with contents, dates and retention period lets someone retrieve the right archive later and know when it can be destroyed. A retention period is how long archived data is kept, often set by law or policy. After it ends, the data should be securely disposed of. Good archive labels describe what the data is, when it covers and how long to keep it. Vague file names make retrieval hard.
Common mistakes: Archiving is for data no longer in everyday use, which means older data. The test should be age > 2 years. Using < would archive recent files that people still use. Archiving moves data out of the live system to long-term storage. The original is removed, not left in use. A backup is the one that keeps the original in place.
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