Life doesn’t happen in batch mode, which is why for several years now, we see a very strong tendency towards stream processing throughout various industries. Companies need, or least partially have to rethink their existing data architectures in order to enable near real-time business cases. Besides traditional database systems and batch-driven tooling, many companies put Apache Kafka® - the de facto standard for robust and scalable event streaming - to good use.
This talk explores the following four different ways to run Kafka on Azure:
You will walk away with a better understanding about the most important benefits, drawbacks and implications for each of the discussed alternatives.