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.
Presenter
Kai Waehner
Global Field CTO, Confluent
Kai Waehner is working with Confluent customers across the world, internal teams, and industry analysts. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, hybrid cloud architectures, event stream processing, and Internet of Things. He is a regular speaker at international conferences such as Devoxx, ApacheCon, and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog.