Data Migration Tool

The tool solves the planning phase of data migrations by converting inputs into measurable metrics. It gathers data_size_tb, object_count, source_system, target_system, mapping_complexity, bandwidth_mbps, and downtime. Based on domain rules, it estimates transfer time, ETL job counts, and required resources, enabling early scoping and risk assessment with auditable assumptions. Example: migrating 12 TB with moderate mappings and 1 Gbps bandwidth yields a baseline duration and cost range.\n\nOutputs include estimated total duration, total data transferred, peak bandwidth needs, scheduled downtime, number_of_jobs, and estimated cost. The tool supports migration styles (lift-and-shift, phased cutover, or ongoing replication) and assigns a configurable risk score from inputs like data criticality and mapping complexity. Results are presented as concrete numbers and ranges for planning.\n\nAudience includes data engineers, IT operations, project managers, and cloud architects responsible for migrations across on-premises, cloud, or hybrid environments. Unique differentiators are structured scenario comparison, validation of inputs, and the ability to export an actionable migration plan without performing any data movement. It emphasizes governance-friendly outputs and repeatable estimation patterns.\n\nCore features and use cases include: data_size_tb, object_count, source_system, target_system, bandwidth_mbps, downtime_hours, compression_enabled; and optional advanced inputs like delta_replication, WAN_optimization, data_quality_constraints. The tool provides both baseline and scenario-adjusted estimates to support iterative planning and stakeholder alignment.