How Lufthansa uses Apache Kafka for Middleware and Machine Learning

Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. The coronavirus was just a piece of the challenge. This post explores how Lufthansa leverages data streaming powered by Apache Kafka as cloud-native middleware for mission-critical data integration projects and as data fabric for AI/machine learning scenarios such as real-time predictions in fleet management. An interactive conversation with Lufthansa as an on-demand video is added at the end as a highlight if you want to learn more.

(Originally posted on Kai Waehner’s blog: “How Lufthansa uses Apache Kafka for Middleware and Analytics”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

Data streaming in the aviation industry

The future business of airlines and airports will be digitally integrated into the ecosystem of partners and suppliers. Companies will provide more personalized customer experiences and be enabled by a new suite of the latest technologies, including automation, robotics, and biometrics.

The entire aviation industry leverages data streaming powered by Apache Kafka already. This includes airlines, airports…