Enterprise Data Warehouse Evolution Strategies When Integrating Microsoft Fabric with Legacy Dynamics Systems

Abstract This whitepaper provides a strategic and technical roadmap for modernizing Enterprise Data Warehouses (EDWs) by integrating Microsoft Fabric with legacy Microsoft Dynamics systems, including Dynamics AX, NAV, GP, and on-premises CRM. Organizations with decades of investment in these platforms face mounting pressure from data silos, rigid architectures, and the growing demand for real-time analytics. Microsoft Fabric, a unified Software-as-a-Service analytics platform built on OneLake and the Medallion (lakehouse) architecture, offers a compelling modernization path by consolidating data engineering, warehousing, science, and real-time intelligence into a single integrated environment. The paper evaluates four distinct migration strategies—lift-and-shift, hybrid coexistence, incremental modernization, and full re-architecture—providing decision criteria, risk profiles, and phased implementation guidance for each approach. Key technical topics include data integration patterns using Dataflows Gen2 and Data Pipelines, dimensional modeling within the lakehouse paradigm, legacy schema mapping, and performance optimization techniques. Governance, security, organizational change management, and the establishment of a Center of Excellence are addressed as essential enablers of long-term success. Drawing on industry research and real-world implementation patterns, the whitepaper equips enterprise architects and data leaders with a practical framework for navigating the transition from legacy constraint to modern analytical capability. Keywords Keywords: Microsoft Fabric, Enterprise Data Warehouse, Legacy Systems Migration, Dynamics AX/NAV/GP, OneLake, Lakehouse Architecture, Data Integration, ETL Modernization