The Marriott hotel group has announced that it has fallen victim to one of the largest data breaches in history as data was stolen over the course of 4 years.Continue reading
Data archiving (and data retention) is an integral part of the data life cycle. To free up your primary cloud storage space for new data, the need will arise sporadically to archive older, stagnant data. Because the primary storage area of a storage system facilitates online accessibility and retrieval of data, it requires sufficient IOPS (Input/Output Operations Per Second) for this. And because of its speed, it’s used as the primary location for backups and restores – but this becomes costly when also used to store archived data.
There is a big difference between data backups and data archives, and the two are often confused. Data backups are used to ensure that data is stored either locally or at an offsite location, and are easily accessible in case something happens to the original data. Recovery time is of utmost importance and its value hinges on it.
Data archiving is used to reduce primary storage consumption and the costs related to it. Data that is no longer in use but not yet obsolete can be moved off primary storage space. As an alternative, cloud-based archives achieve both goals because of cloud storage being so cost effective. Archived data doesn’t need the same speed of recovery as with data backups (e.g. critical recovery time objectives)
Also note that it might be necessary to draw up a data-retention policy that is in compliance with your country’s data retention laws.
In an age where data is exploding in size, primary storage is a premium and there are threats from every angle, it is important to manage data more effectively. For a network manager, it can become a time-consuming task simply deciding which data to keep and what to remove. So how do you understand what’s on your network and how best to manage it?Continue reading