Jamison Cush: The next step after our data center
disaster is data restoration. Data restore is the
process of copying backup data from secondary
storage and restoring it to its original location.
Restore happens when data has been lost, stolen or
damaged or needs to be moved to a new location.
But the way data is restored depends on the
information, how much the data was affected, how
the incident happened, the software used by the
backup, and other factors. Some common data
restoration techniques include instant recovery,
which redirects a user's workload to a backup
server. Users get near immediate access to a
snapshot restore point of their workload, while it
manages the full recovery in the background.
Replication, which is even faster stores copies of
data in multiple locations, meaning near instant
access to data. CDP, or continuous data
protection, which backs up data using snapshots
taken every time the data changes. This however,
can tax a system's CPU and requires a lot of
storage. Near CDP, which is when data snapshots
are taken at set intervals, and then changes are
consolidated later. And traditional backup, which
stores data on HDDs or magnetic tapes. This kind
of data restore is useful in major hardware
disaster, but lacks the scalability and efficiency
of the other methods. Learn more about data
restore methods and techniques in the link above.
What does your organization's data restoration
plan look like? Let us know in the comments below
and please hit that like button.
