EY DataNeXt V4 is a multi-cloud data model supporting user-driven query generation, execution tracking, and metadata governance across distributed data sources. Users authenticate and access workspaces, initiating sessions that spawn conversations, requests, and AI-generated SQL queries executed against registered data sources with full lineage and classification tracking. The schema enforces role-based access control, query validation, and historical context preservation, enabling teams to audit data lineage, track query patterns, and maintain compliance across Azure, AWS, and on-premises repositories. Fork this diagram on Diagrams.so to customize workspace policies, add data source connectors, or extend the artefact storage layer for your organization. The design separates user identity and preferences from workspace-scoped access, allowing multi-tenant deployments with isolated query execution contexts.