Why the Data Storage Industry is Changing
For years organisations have been grappling with data backup and recovery issues. Like the need to decide what data needs to be kept in near-term storage for easy access, what can live at a second level where it’s still accessible (perhaps not immediately), and what can be kept in deep archives.
Big Problems
The rise of Big Data brings fresh dilemmas. Besides scale, there are characteristics of Big Data management that distinguish it from traditional approaches.
Big Data analysis often involves large data stores that are really only useful for a short period. Once the analysis is over, the data has served its purpose. The question arises as to whether it’s worth keeping at all, much less backing up.
