One of Australia’s largest and prominent retail entities, our client has evolved into a premier supermarket chain with a dominant market share of 33%. Their commitment to utilising the power of data to inform and drive key business decisions is evident, ultimately contributing to the sustainable growth and development of the organization in an ever-evolving market landscape.
The retail client, striving to become a data-driven organization, aims to transition their analytics platform to the AWS cloud, emphasizing the central role of the data lake. This move is essential to meet the escalating demand for rapid ingestion of new data sources into the data lake, enabling real-time data-driven decision-making in response to dynamic circumstances, necessitating high-volume, high-velocity, and high-speed data ingestion.
Our implementation adopts a modern integration pattern, ensuring streamlined and efficient ingestion of new data sources into the AWS analytics platform with minimal engineering effort and high velocity. The integration is supported by a high-speed and scalable Kafka platform, and we enhance the low engineering aspect through the utilization of prebuilt connectors from Confluent Cloud, accommodating a variety of integration patterns.
