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BigData / Data Lake Interview questions

How do you implement backup and disaster recovery for Data Lakes?

Backup and disaster recovery (DR) protect data lakes from accidental deletion, corruption, ransomware, infrastructure failures, and regional outages. Robust DR planning ensures business continuity and data durability.

Backup Strategies:

1. Multi-Region Replication: Replicate data to geographically separate regions. AWS S3 Cross-Region Replication, Azure Geo-Redundant Storage, GCS Dual-Region/Multi-Region provide automatic replication.

2. Versioning: Enable object versioning (S3 Versioning, Blob Soft Delete) to protect against accidental deletion or overwrites. Retain multiple versions for recovery.

3. Snapshots: Create point-in-time snapshots of data lake contents. Delta Lake, Iceberg, and Hudi provide zero-copy snapshots through metadata operations.

4. Incremental Backups: Back up only changes since last backup, reducing storage and transfer costs. Tools like AWS Backup, Azure Backup support incremental backups.

5. Backup to Different Storage Class: Copy critical data to cheaper archive storage (Glacier, Archive Blob Storage) for long-term retention.

Recovery Point Objective (RPO): Maximum acceptable data loss (time). Determines backup frequency. Financial transactions: near-zero RPO. Logs: hourly RPO acceptable.

Recovery Time Objective (RTO): Maximum acceptable downtime. Determines recovery approach. Critical systems: minutes RTO. Dev environments: hours/days RTO acceptable.

Disaster Recovery Patterns:

1. Backup and Restore (Low Cost, High RTO): Regular backups, manual restore process. Suitable for non-critical workloads.

2. Pilot Light (Medium Cost, Medium RTO): Minimal infrastructure running in DR region, scaled up during disaster. Core data replicated continuously.

3. Warm Standby (Medium-High Cost, Low RTO): Scaled-down version running in DR region, scaled up during disaster. Near real-time replication.

4. Hot Standby/Active-Active (High Cost, Near-Zero RTO): Full capacity running in multiple regions, active-active configuration. Automatic failover.

Testing: Regularly test DR procedures (quarterly/annually), document runbooks for recovery, conduct tabletop exercises, measure actual vs target RTO/RPO.

What is RPO in disaster recovery?
Which DR pattern has the lowest RTO?

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