Creating an IoT-Based, Data-Driven Food Value Chain with Confluent Cloud | Confluent

This post details how BAADER is using Confluent Cloud to build an IoT-based, data-driven food value chain. It highlights the use of Kafka and Confluent Cloud as a core digital platform for capturing and processing IoT event data from farm to fork. Specific technical examples include using KSQL to monitor machine idle times in processing facilities and integrating GPS data with the Google Distance Matrix API for delivery truck arrival time predictions. The post also mentions the collection of weather data to analyze its impact on product quality and animal welfare. BAADER emphasizes the benefits of Confluent Cloud for its managed Kafka service, enabling them to focus on application development rather than infrastructure management. They also highlight the use of KSQL for stream processing and filtering, and the overall event-driven architecture as a key to their data strategy.