Data patterns

Implement data management practices to reduce the provisioned storage required to support your workload, and the resources required to use it. Understand your data, and use storage technologies and configurations that best support the business value of the data and how it’s used. Lifecycle data to more efficient, less performant storage when requirements decrease, and delete data that’s no longer required.

Topics

• Implement a data classification policy
• Use technologies that support data access and storage patterns
• Use lifecycle policies to delete unnecessary data
• Minimize over-provisioning in block storage
• Remove unneeded or redundant data
• Use shared file systems or object storage to access common data
• Minimize data movement across networks
• Back up data only when difficult to recreate