Let's face it: most people would never think of implementing data streams with Elasticsearch because this is not what Elasticsearch is known for. But what if I told you that the support for data streams in Elasticsearch is not only possible but also — awesome?

This talk will revisit Elasticsearch storage's architecture and explain why it is wise to handle data streams with it. It will show an entertaining demo that showcases how to store and compute data streams and transforming them into insight using only native features. Then it will explain how Elasticsearch addresses questions like — high-availability, scalability, constant-time latency, data volume, and how to retain years of data.

- How to use handle data streams with Elasticsearch?
- Advantages of Elasticsearch versus Apache Kafka?
- How to create sustainable data streams architectures?