Backup & Recovery in Multi-Model Databases
1. Introduction
Multi-model databases allow the storage of data in various formats, such as relational, document, key-value, graph, etc. This flexibility necessitates robust backup and recovery mechanisms to ensure data integrity and availability across different data models.
2. Key Concepts
- **Backup**: The process of creating a copy of data to protect against loss.
- **Recovery**: Restoring lost data from a backup.
- **Multi-Model Database**: A database that supports multiple data models (e.g., relational, document).
- **Point-in-Time Recovery**: Restoring data to a specific moment in time.
3. Backup Strategies
3.1 Types of Backups
- Full Backup: A complete copy of the entire database.
- Incremental Backup: Copies only the data that has changed since the last backup.
- Differential Backup: Copies data changed since the last full backup.
3.2 Backup Methods
Note: Choose a method based on your recovery time objectives (RTO) and recovery point objectives (RPO).
- Database Snapshots
- Logical Backups
- Physical Backups
4. Recovery Methods
4.1 Recovery Techniques
- Restore from Full Backup
- Apply Incremental Backups
- Point-in-Time Recovery
Warning: Ensure that you have a tested recovery plan in place before a failure occurs.
5. Best Practices
- Regularly test backup and recovery processes.
- Use encryption for backups to ensure data security.
- Store backups in multiple locations (on-site and off-site).
- Automate backups and monitor processes for failures.