Life Sciences • Use Case
Data Warehouse Modernization
Modernizing legacy infrastructure for scale, speed, and FDA‑aligned compliance.
A global life sciences organization needed a modern, compliant, and scalable data foundation to support growth, reduce operational risk, and meet FDA expectations for traceability and data integrity.
The Challenge
A global life sciences organization relied on a legacy SQL Server environment that could no longer support its growth, regulatory expectations, or increasing data volumes. Processing windows were expanding, pipelines were fragile, and compliance teams lacked confidence in lineage and auditability.
The architecture created operational risk and made it difficult to meet FDA expectations for traceability, reproducibility, and data integrity — all essential for 21 CFR Part 11 and GxP compliance.
Industry Insight:
Life sciences data platforms must prove how data was produced, who touched it, and whether results can be reproduced. Legacy SQL Server environments often fail these expectations due to missing lineage, inconsistent models, and fragile ETL patterns.
What We Found
A detailed review of the warehouse, pipelines, and operational workflows revealed several root causes behind the performance and compliance challenges.
- ✔ Legacy SQL Server instance nearing capacity limits
- ✔ ETL processes built on outdated patterns with limited monitoring
- ✔ No end‑to‑end lineage to support FDA audit requirements
- ✔ Data models inconsistent across functional domains
Our Approach
We modernized the warehouse architecture using Azure Fabric and Synapse‑aligned patterns, enabling scalable processing, automated lineage, and compliance‑ready data flows.
Modern Architecture
Re‑platformed core workloads using Fabric/Synapse patterns to support scale, performance, and modular growth.
Automated Lineage
Implemented end‑to‑end lineage and metadata capture to meet FDA expectations for traceability and audit readiness.
Optimized Pipelines
Redesigned ingestion and transformation pipelines to reduce processing windows and improve reliability.
Executive Insight:
FDA compliance requires traceability, reproducibility, and data integrity. Automated lineage eliminates manual documentation and reduces audit risk.
The Outcomes
The modernized warehouse delivered measurable improvements in performance, reliability, and compliance readiness.
- ✔ 60% faster processing across core workloads
- ✔ Audit‑ready lineage supporting FDA compliance
- ✔ Architecture aligned to future growth and regulatory needs
Why It Mattered
With a modern, compliant, and scalable warehouse, the organization reduced operational risk, improved data integrity, and gained confidence in its ability to support FDA audits and future growth.
The new architecture also created a foundation for advanced analytics, AI‑driven insights, and long‑term digital transformation — without compromising regulatory expectations.
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