Case study: Data & Analytics
How Vertex Eliminated ETL Failures with a Modern Lakehouse Architecture
Case Study at a Glance
Client
A global manufacturing enterprise seeking to modernize its legacy SQL reporting and ETL infrastructure to support enterprise-wide analytics and future AI initiatives.
The Problem
The legacy data ecosystem faced frequent ETL failures, high maintenance overhead, and limited scalability. Fragmented ERP data and outdated architecture restricted reporting performance and delayed critical business insights.
The Solution
Vertex implemented a Microsoft Fabric Lakehouse architecture using a medallion (Bronze/Silver/Gold) framework. Automated ingestion pipelines, governed semantic models, and Direct Lake Power BI reporting were introduced to create a secure and scalable analytics platform.
The Result
- Improved data reliability and reporting consistency
- Reduced maintenance overhead of legacy systems
- Faster access to operational and financial insights
- Established a cloud-aligned, AI-ready analytics foundation
OVERVIEW
Vertex modernized a global manufacturer’s legacy SQL-based analytics ecosystem by implementing a Microsoft Fabric Lakehouse architecture. The new cloud-native platform improved scalability, reliability, and performance while enabling enterprise-wide analytics and self-service reporting.
OBJECTIVES
- Replace aging SQL-based infrastructure
- Eliminate ETL failures and reduce data latency
- Consolidate fragmented ERP and operational data pipelines
- Enable enterprise-grade Power BI reporting
- Prepare foundation for AI/ML and advanced analytics
DELIVERABLE
A Microsoft Fabric-based Lakehouse Data Analytics Platform featuring automated ingestion, medallion architecture (Bronze/Silver/Gold), governed semantic models, and enterprise reporting.
KEY FEATURES
Cloud-Native Lakehouse Architecture
- Migration from on-prem SQL to Microsoft Fabric
- Medallion data architecture for governance and reliability
- Direct Lake connectivity for high-performance Power BI
Automated Data Engineering Framework
- End-to-end ingestion pipelines from ERP systems
- Monitoring, orchestration, and logging framework
- Historical data reconciliation strategy
Enterprise Reporting & Enablement
- Power BI semantic models for Finance, Sales, Operations
- Security and governance aligned with enterprise standards
- Knowledge transfer to internal IT teams
BUSINESS RESULTS
- Future-ready analytics platform aligned to cloud strategy
- Improved data reliability and reporting consistency
- Faster access to operational and financial insights
- Reduced maintenance overhead of legacy systems
- Strong foundation for AI and advanced analytics expansion
TECHNOLOGIES
Platform: Microsoft Fabric (Lakehouse)
Reporting: Power BI (Direct Lake)
Architecture: Medallion (Bronze/Silver/Gold)
Data Engineering: Automated Ingestion & Orchestration
Hosting: Microsoft Cloud
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