Abstract
This webcast will specifically focus on the fundamentals of data reduction, which can be performed in different places and at different stages of the data lifecycle. Like most technologies, there are related means to do this, but with enough difference to cause confusion. For that reason, we’re going to be looking at:
- How companies end up with so many copies of the same data
- Difference between deduplication and compression – when should you use one vs. the other?
- Where to reduce data: application-level, networked storage, backups, and during data movement
- When to collapse the copies: real-time vs. post-process deduplication
- Performance considerations