Azure Databricks to Microsoft Fabric Migration & Unified Analytics Platform

Quadra helps enterprises modernize analytics platforms by migrating Azure Databricks workloads to Microsoft Fabric, enabling a unified, scalable, and governed data architecture for enterprise analytics.

We help organizations consolidate these architectures into a unified Microsoft Fabric platform, simplifying data engineering workflows, improving pipeline execution efficiency, and enabling better operational visibility across the analytics environment.

With strong expertise in manufacturing, pharmaceutical, and regulated industries, Quadra delivers secure, scalable, and outcome-driven data modernization solutions that help enterprises unlock greater value from their data.

The Industry Scenario Many enterprises today run advanced analytics workloads using services such as Azure Data Factory, Azure Synapse, and Azure Databricks to support data engineering and transformation pipelines. While these architectures successfully support enterprise analytics, over time organizations often look for opportunities to simplify platform management, improve performance, and optimize infrastructure costs as their data volumes grow. Typical environments include: • Large volumes of transactional data from enterprise systems such as Dynamics 365 (Finance & Operations) • Sales, finance, and operational data from platforms such as Salesforce and Google BigQuery • Multiple analytics tools such as Tableau and Power BI consuming data from different platforms • Data engineering pipelines orchestrated through Azure Data Factory • Transformation workloads running in Azure Databricks notebooks • Multiple storage layers and Azure subscriptions supporting different workloads

As data platforms expand, organizations often seek ways to streamline the architecture while maintaining the same transformation logic and business processes.

Who This Solution Is For This solution is designed for organizations that: • Run data engineering workloads in Azure Databricks notebooks • Use Azure Data Factory or Synapse pipelines for orchestration • Store enterprise data in Azure Data Lake Storage or other storage platforms • Use Power BI, Tableau, or enterprise BI tools for reporting • Want to migrate and modernize their analytics platform using Microsoft Fabric The solution is applicable for industries such as manufacturing, retail, pharmaceuticals, financial services, and large enterprise analytics environments.

Quadra Migration Approach: Unified Enterprise Data Platform on Microsoft Fabric Quadra delivers a structured migration framework to transition Azure Databricks workloads into Microsoft Fabric, with necessary modifications to adapt transformation pipelines and data models to the Fabric architecture. The approach enables organizations to consolidate multiple analytics services into a unified enterprise data platform powered by Microsoft Fabric.

Key Solution Capabilities Unified Data Integration • Direct integration from Dynamics 365 to Fabric Lakehouse using Fabric Link • Ingestion of Salesforce and external data sources • Removal of redundant storage and staging layers • Centralized enterprise storage using OneLake

Simplified Medallion Architecture • Implementation of Bronze → Silver → Gold data layers • Unified platform replacing multiple Azure services • Structured datasets for raw, refined, and business-ready data • Improved data consistency and governance

Unified Data Orchestration • Migration of Azure Data Factory pipelines to Fabric Data Pipelines • Simplified workflow orchestration • Reduced operational complexity • Faster pipeline execution and simplified monitoring

Advanced Analytics & Reporting • Native integration with Power BI • Tableau consumption of curated Lakehouse datasets • Single trusted data platform for enterprise reporting

Performance and Platform Optimization Benefits By consolidating workloads into Microsoft Fabric, organizations can achieve measurable improvements: ✔ Pipeline execution time optimization from ~3 hours to ~1 hour 15 minutes ✔ Improved processing efficiency with optimized compute utilization ✔ Infrastructure and platform cost optimization ✔ Simplified monitoring and orchestration of data pipelines ✔ Consolidation of multiple services into a single unified Microsoft Fabric platform

Business Outcomes The modernization delivered significant benefits: • Simplified enterprise data architecture • Faster analytics processing and reporting • Reduced operational complexity • Improved governance and data visibility • Scalable architecture ready for future data growth