--Assess the Extent of Corruption Identify affected tables, indexes, and transactions.Determine if the corruption is partial (affecting specific rows) or complete (database-wide). -- Prioritize Critical Systems Focus on restoring data that impacts core business functions. -- Use the Most Recent Backup First. If a reliable backup is available, prioritize restoring from the latest, uncorrupted backup. -- Restore Read-Heavy Data First If the system has components that are primarily read-only (e.g., reports, dashboards), restoring them first can help users regain some functionality while other data is being fixed. --Minimize Data Loss & Ensure Integrity. Use transaction logs to recover recent changes and minimize data loss.

I always have a copy of my most critical business continuity data in a safe place ,, away from my production system and most of the time ,,it saved me. In case of ,,no proper backup available,, I would have the set of data earmarked for business continuity and will try to recover those first to resume business operations

1. Assess the Extent of Corruption 2. Prioritize Critical Business Functions 3. Use a Tiered Recovery Strategy 4. Check Backup Integrity 5. Implement a Gradual Restoration Process 6. Communication and Stakeholder Involvement 7. Post-Restoration Validation In summary, the restoration process should be based on a prioritized, strategic assessment of data criticality, system dependencies, and available backup resources, with a focus on restoring business continuity as efficiently as possible while maintaining data integrity.

Normally in production environments like below sectors 1. Financial 2. Entertainment 3. Health care data have large size databases So in case of database crises DBA should identify critical part of data set, which need to restore first to ensure business recover and run quickly. DBA use the Restoration strategies like point in time recovery and use of transaction logs to roll forward to the most recent consistent state, ensuring that any new transactions are processed. Restore Data in Phases: 1: Core Critical Data – Customer data, transaction logs, real-time data (sessions, orders), etc. 2: Operational Data – Billing systems, metadata, service-specific data. 3: Historical and Backup Data – Older records or less critical historical data.

Cloud storage is central to data Recovery in offering a safe, offsite backup environment, supporting quick data restoration in the event of disaster or data loss, and facilitating capabilities such as redundancy and scalability.