Baader's IoT and Data Streaming Innovation in Food Value Chain

What this post added

This post details BAADER's use of Confluent Cloud and Apache Kafka to build a data-driven food value chain, capturing data from farm to fork. It highlights the use of Confluent Cloud for its scalability, reliability, and connectors for integrating disparate data sources. The post also mentions Mojix's retail IoT platform using Confluent Cloud for real-time inventory management. Key technical aspects include using Kafka Connect, KSQL, and Kafka Streams for collecting, transporting, storing, and processing IoT events globally. It emphasizes Confluent Cloud's ability to handle massive data volumes, provide real-time analytics, and support hybrid/multi-cloud environments. BAADER specifically uses KSQL for stream processing and connectors to Elasticsearch and Kibana for visualization.