Real-Time Data Integration

About the Customer
The client is a U.S.-based company that provides logistics solutions for major food and beverage brands. They rely on accurate, timely data to manage complex supply chains and serve their customers effectively.

Project Summary
The client needed real-time access for a customer-facing web portal, but their system only allowed batch Datalake access. Our team designed and implemented a hybrid Azure-based architecture that continuously captures, validates, and versions data changes. This enabled real-time insights, ensured accuracy through business rule checks, and triggered downstream updates via API—supporting operational visibility and advanced analytics.

Challenge
The upstream IT system offered only batch Datalake access. However, the portal and analytics workloads required validated, real-time data. The existing setup created delays and limited transparency for end users.

Solution
We built a hybrid Azure architecture using both serverless and server-based components. Continuous delta capture from the Datalake was combined with validation and deduplication. Each business entity change was versioned in a staging layer, providing full traceability. Data was then enriched with master data and validated against business rules before being merged into an application schema for real-time reporting. Additionally, certain conditions automatically triggered API calls to push updates to downstream systems.

Technologies Used

• Azure Cloud

• Azure Functions

• Azure SQL Server

• Java, React

• Power BI

Results & Business Value

• Real-Time Data: Live synchronization eliminated delays and improved operational responsiveness.

• Auditability: Each change was versioned with timestamps and user attribution.

• Customer Experience: Fresh data improved visibility, reduced support queries, and boosted satisfaction.

• Automation: Data-driven triggers streamlined workflows and minimized manual effort.