Food processing fits trivially to stream processing when it comes to a digital twin. Today, the food processing industry is not well connected but there are huge potentials if data is getting shared. For example, the IoT (Internet of Things) data at the very first stage of the value chain has an impact on downstream steps. Integrating data of the food value chain can be easily done by applying streaming processing using Apache Kafka and in particular KSQL. In this talk, we will deep dive into how we stream data of the quality of fish and poultry collected from a factory in real-time and how KSQL plays a significant role. Since the digitization journey of BAADER is not only to establish powerful tools rather than establishing a new kind of culture where Apache Kafka helps in general. Beyond collecting product data, streaming machine data becomes crucial as well when state-of-the-art predictive services are provided. However, Apache Kafka with the capability of strictly ordered of messages allows us precisely analyze machine data at any point in time by just moving the offset slider.