In order to be able to search archive storage, organizations need processes for creating, organizing and checking the quality of metadata.
The world is adopting cloud storage, but will they be disappointed when it is not able to keep up with computations? Is parallelism the answer?
With microservers, it may be necessary to create two separate layers of networked storage.
In most cases, archive storage costs more than users expect it should.
RAID can't keep up with ever-increasing drive size, but solutions like Dynamic Disk Pools offer a potential solution.
A look at Big Data application languages, data access functions, file systems, and even the OS.
