Nicolas Fränkel
Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Currently working for Hazelcast. Also double as a teacher in universities and higher education schools, a trainer and triples as a book author.
Stream Processing Essentials Training
Take your first steps to understanding and start working with stream processing! By the end of the course, you will be able to build and run distributed streaming pipelines in Java:
- Explain when to use streaming
- Design a streaming application from the building blocks
- Transform, match, correlate and aggregate continuous data
- Scale, deploy, and operate streaming apps
We will also cover the advantages and disadvantages of the stream processing technologies available when approaching real-world problems.
Designing a DSL with Kotlin
Kotlin is one of those “new” JVM languages that are currently rocking the boat. Although it’s made a great impact on Android, it’s equally good on the server side. As Domain-Specific Languages are constrained by the language they run on, Kotlin frees developers from Java fluent builders to propose something better.
Using the Vaadin web framework as an example, I’ll demo how one could design its own DSL with Kotlin.