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Online Talk

Streaming Data Architectures and Use Cases

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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 is Global Field CTO at Confluent. His areas of expertise include big data analytics, machine learning, messaging, integration, microservices, the Internet of Things, stream processing and blockchain. He is also the author of technical articles, gives talks at international conferences and shares his experiences of new technologies in his blog (www.kai-waehner.de/blog).