Data Architect Tool

The tool enables data modeling by accepting a dictionary of entities, attributes, data types, keys, relationships, and data volumes to produce a normalized schema, a data lineage map, and storage estimates. It is designed for data engineers, data architects, and analytics teams tasked with designing and migrating data platforms, warehouses, or data lakes.
Core logic focuses on formal schema design rules and observable outputs. Required inputs include entities, attributes with types and constraints, keys and relationships, plus row counts and sizes. The system computes normalization status, detects redundancy, and proposes targets (e.g., 3NF/BCNF). Optional features include denormalization recommendations for reporting, indexing guidance, and cross-source lineage analysis.
Outputs are machine-readable and human-interpretable: a schema definition, a normalization score, a data lineage graph, storage estimates, and export-ready definitions in SQL or JSON. The tool does not execute queries or alter databases; it delivers modeling intelligence that teams can apply during design reviews, migrations, and governance planning.
Use cases include designing a data warehouse, planning ETL pipelines, and aligning data models with analytics needs. Unique value comes from combining normalization scoring, storage estimation, and explicit data lineage within a single model, reducing modeling time and enabling proactive governance.