Data Value Lifecycle Management
May 19, 2012Overview:
Data Archiving which is the disciplined process by which data is migrated or copied and migrated for long term retention under a chain of custody control to media at designated archive location/s where retention, security, retrieval, rendering, and authentication are all specified by formalized archiving policy
- The value of data changes over time…
- Spend more to protect it when it is at its highest value
- Spend less, when it’s at a lower value
- Business seeks to align the management of data with its actual business value to the organization
Data Archiving Impact
- Storage
- Slower rate of tier-1 storage growth
- Improve application performance
- Backup
- Reduce exponential growth
- Improve performance
- Enabler for disk-based backup
- Disaster Recovery
- Enable faster recovery (improve RTO)
- Reduce DR infrastructure requirements
Service Level Considerations:
Recovery Time Objective is the maximum tolerable elapsed time (from actual disaster not declaration) for restoration of business operational viability
- Retrieval Time objective is the target upper limit of elapsed time (latency) allowable for retrieval of a specified archived object
- Recovery Point Objective is the maximum tolerable data loss on recovery from a disaster, normally expressed as a time metric (e.g. one hour)
Possible solution:
HSM (Hierarchical Storage Management) is the disciplined migration of data from production storage to less expensive storage based on the value of the data or its access requirement; HSM is substantially transparent to the accessing application.