AI Edge

Accelerating SAP and SQL modernization with Microsoft Fabric

How AI Edge helped a national retail pharmacy and healthcare organization establish a repeatable ingestion, transformation, and analytics-readiness pattern on Microsoft Fabric.

SAP SQL Server Fabric Lakehouse Medallion Architecture

Creating a governed path from enterprise sources to analytics

The customer needed to modernize how critical enterprise data was prepared and consumed for analytics. Key sources existed across SAP and SQL Server environments, and the organization wanted to take advantage of Fabric while remaining consistent with existing data-platform investments.

The challenge was to establish an efficient, scalable pattern that could ingest multiple systems, apply governed business transformations, organize data through medallion architecture, and deliver curated datasets for reporting and future analytics initiatives.

Aligning a focused MVP with proven Fabric patterns

The team worked with customer stakeholders, account teams, and partner resources to define the MVP and execution strategy. Existing Fabric architecture patterns were reviewed first so that new components would extend proven practices rather than create unnecessary duplication.

Discovery and scope alignment

Identify source systems, data domains, reusable Fabric assets, transformation requirements, and pilot success criteria.

Fabric-based ingestion

Validate connectivity, design acquisition patterns, account for incremental loading, and land data in Fabric Lakehouse.

Transformation engineering

Use Fabric Notebooks and Lakehouse processing to convert operational data into standardized, business-ready datasets.

Semantic readiness

Align curated outputs with existing semantic modeling practices and downstream reporting patterns.

Separating ingestion, transformation, and consumption

Bronze

Raw source ingestion with source fidelity maintained for traceability.

Silver

Data quality checks, standardization, and business-rule application.

Gold

Curated, analytics-focused datasets prepared for consumption.

A practical foundation for enterprise data modernization

Faster onboarding

Accelerated ingestion of enterprise data sources into a consistent Fabric pattern.

Repeatable engineering

Reusable approaches for ingestion, transformation, and curated data-layer creation.

Strategy alignment

Implementation aligned with existing enterprise Fabric architecture and semantic practices.

Future readiness

A foundation for additional SAP, operational, reporting, and analytics workloads.

Customer and delivery-partner names are not disclosed. The case study describes the implementation approach and reported outcomes supplied for this engagement.