Not all data need
to be kept beyond the lifetime of a project; indeed in many cases it would be
impractical to keep everything:
- Archived data must be
discoverable: if no-one can find them, no-one will use them
- Archived data must be usable: if
finding the few useful bits from a huge dataset is like looking for a
needle in a haystack, they won't be used at all
- Storage space is expensive:
archived data must be robustly backed up, which can more than double the
cost compared to typical storage.
data, you should carefully consider what is and is not important to keep.
should consider this before you even start, when writing your data