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Online Talk

Streaming Data Architectures and Use Cases

Available On-demand

As business priorities continue to shift in a post-pandemic world, there’s no denying the unpredictable nature of data usage. Kai Waehner, Field CTO at Confluent, shares the top real-world data streaming use cases and architectures we expect organizations to adopt.

In addition, he also shares the best technologies that are helping companies leverage real-time data at scale, stay competitive, deliver powerful, real-time experiences, and more through modern, data streaming technologies. Here are the top 5 data streaming use cases and architectures:

  • Kappa architectures have become the de facto standard for big data.
  • Data streams support hyper-personalized, omnichannel experiences.
  • Multicloud architectures maximize data value and disaster recovery.
  • Data processing at the edge delivers instant, scalable insights.
  • Real-time cybersecurity helps organizations proactively address threats.


Kai Waehner

Field CTO, Confluent

Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is a regular speaker at international conferences such as Kafka Summit, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog ( Contact and references: / @KaiWaehner / / LinkedIn (

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices