The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data.
However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis.
In this white paper, explore:
How the relative proportion of hot, warm, and cooler data changes over time
New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life
The role of artificial intelligence (AI) in migrating data to the most cost-effective tier