Data Platform Modernization: 8-Wk Imp

Data Platform Modernization Offer

Trace3 helps organizations modernize their data estate by unifying ingestion, transformation, governance, and insights with Microsoft Fabric, Azure Databricks, and Azure SQL. Our approach accelerates time-to-value, improves governance, and sets the stage for advanced analytics, AI, and ML adoption.

Our Proven Approach

We use a structured, repeatable framework built on Microsoft best practices to deliver an “Ingest to Insight” journey:

• Ingest & Transform – Move data into Fabric’s OneLake or Databricks Delta Lake using Azure Data Factory or Fabric Data Pipelines. Apply bronze, silver, and gold transformation patterns for scalable, governed pipelines.
• Model & Serve – Use Fabric to design semantic models, enable Direct Lake for real-time Power BI insights, and leverage Azure SQL for transactional and operational workloads.
• Govern & Secure – Integrate Microsoft Purview for data cataloging, lineage, and compliance. Enforce enterprise-grade security with RBAC, sensitivity labels, and customer-managed keys.
• Optimize & Automate – Apply FinOps cost controls, monitor Fabric capacity and Databricks clusters, and automate with Infrastructure-as-Code and CI/CD pipelines through GitHub Actions or Azure DevOps.

What You Can Expect

Our team will engage to:

• Establish a modern, cloud-based data foundation with Fabric, Databricks, and Azure SQL.
• Design and implement ingestion pipelines, transformation patterns, and semantic models.
• Configure governance and security aligned with compliance and best practices.
• Deploy CI/CD workflows to ensure scalable, repeatable data operations.
• Deliver Power BI dashboards for business-ready insights and performance monitoring.

Engagement Outcomes

At the conclusion of this engagement, your organization will have:

• A modernized, future-ready data platform built on Microsoft’s latest capabilities.
• Faster, more reliable access to insights through Fabric’s unified analytics and Direct Lake integration with Power BI.
• Improved governance and compliance via Purview-driven cataloging, lineage, and security.
• Optimized costs and performance through FinOps practices, workload monitoring, and automation.
• A scalable foundation for AI and MLOps, ensuring your platform supports future innovation.