Data Restore Tool

Purpose & workflow: This tool translates backup inventories, recovery points, and data scope into a concrete restoration plan. It helps IT admins, DBAs, and DR teams think through sequencing and validation before executing a restore.
Conceptual logic: inputs include backup_id, source_system, recovery_point, target_environment, and data_scope. The tool classifies restore types (full vs granular) and computes a viable restoration sequence with checkpoints and validation steps.
Core value and use cases: planning disaster recovery tests, validating restoration feasibility, estimating duration, and auditing the plan for compliance. It supports multi-system restores, versioned datasets, and rollback criteria to minimize risk.
Core features: input validation, dependency graph generation, duration estimation from data_size and bandwidth, checksum/record-count validation, and a structured restoration plan export for execution tools. It outputs a plan, risk indicators, and a validation report for stakeholders.