Real-time analytics platform transformation — from batch ETL to streaming change-data capture on AWS.

Challenge

At CloudZA, we specialise in crafting tailored cloud solutions that drive operational efficiency and innovation. Our collaboration with BDNav, a leading provider of analytics for retail stores, exemplifies our commitment to delivering scalable, cost-effective, and real-time data platforms.

BDNav's mission is to empower retail businesses with actionable insights derived from vast amounts of data. However, their existing data infrastructure was predominantly batch-oriented, leading to several challenges: delayed reporting, high maintenance overhead, and a pipeline that could not scale with growing data volumes. These limitations made it increasingly difficult to deliver the timely insights their retail clients depended on.

Solution

To address these challenges, CloudZA designed and implemented a real-time, cost-efficient data ingestion pipeline leveraging AWS services and open-source technologies. The solution replaced the batch ETL architecture with streaming change-data capture, enabling near real-time data flow from source systems into the analytics layer.

Result

Through close collaboration with BDNav, CloudZA delivered a robust, real-time data ingestion and analytics platform tailored to the unique challenges of the retail analytics sector. By harnessing the power of AWS and open-source technologies, BDNav's data operations were transformed, enabling them to offer enhanced insights to their retail clients while optimising costs and operational efficiency.