Clara Hennecke

What is Real-Time Stream Processing and how can it help your business? PaaS (Platform-as-a-Service) based on Python with Quix

What is event streaming and how can companies benefit from it? How does it help developers like Data Engineers of IT Operations or Mechanical Engineers? What role does Kafka* play? And what does Kubernetes, the open source system developed by Google for managing container applications, have to do with it? The guest on this episode of the IoT Use Case Podcast is Clara Hennecke (Streaming Advocate, Quix), who answers these very questions. Quix helps customers from a wide range of industries with a tool that enables developers to load real-time data from a wide range of infrastructure, transform data and, in the process, make data available in a wide range of systems, even without prior IoT knowledge. The Quix solution relies on Python and not only provides the technology itself, but lets entire workflows manage themselves. We dive into three use cases in more detail in this episode: 1. eMan intelligent stethoscope from the field of medicine. 2. Mobility IoT in racing 3. Component business of a British company for CNC milling machines. *More about Kafka in this episode!