From Fragmented Terminal Data to a Governed Azure Lakehouse

Success Metrics

60 %

reduction

in manual data preparation effort.

85 %

reduction

in infrastructure and compute costs.

99.8 %

Data availability

Data availability improved to under 15 minutes with 99.8% pipeline reliability.

Introduction

A leading African port operator required a modern analytics platform to unify operational, financial, and commercial data spread across multiple disconnected systems. GetOnData Solutions designed and implemented an Azure Databricks Lakehouse that consolidated historical and real-time data into a single governed platform, enabling faster reporting, improved data reliability, and enterprise-wide analytics without impacting live operational systems.

Business Challenges

Solution

GetOnData implemented a scalable Azure Databricks Lakehouse using the Medallion Architecture (Bronze, Silver, Gold). Historical data was migrated through a one-time bulk load, while continuous Change Data Capture (CDC) pipelines synchronized updates from Navis N4, SAP ERP, Pastel, CRM, and external files. Unity Catalog provided centralized governance, lineage, security, and data quality, delivering trusted business-ready datasets for reporting and analytics.

Solution Architecture

Port Case Study Architecture

Business Impact

GetonData established a single governed source of truth for terminal operations, finance, and commercial reporting. Analysts gained near real-time access to trusted data while eliminating manual reporting efforts. Historical operational insights became readily available, enabling better planning, faster business decisions, and improved operational efficiency without affecting production systems.

Customer Feedback

"GetOnData gave us a single, trusted view of our terminal operations. Reporting that previously required days of manual effort is now available within minutes, enabling confident, data-driven decisions."Leading African Port Operator

Case Studies

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Case Studies