Buckets are units of data storage in cloud storage. In terms of underlying storage, they can be considered as repositories linked to your project in Google's managed data centers. Buckets are mainly divided into four classes based on their availability, demographic relevance, and frequency of access:
|
Storage Class |
Remember As |
Use Case |
|
Multi-regional |
Hot and available |
Globally accessed static content |
|
Regional |
Hot and local |
Input into Dataproc or compute processing |
|
Nearline |
Cool, not cold |
Backups (access ~ once a month) |
|
Coldline |
Cold and rich |
DR (access ~ once a year) |
- Hot and available - Multi-Regional: These buckets can be accessed from any region across the world, making them highly available.
They are also Geo-Redundant, which means that data coming from...
