IN-PERSON: A Catalogue of The Data Streaming Ecosystem

Join us to explore how data streaming solves different challenges through different stacks. We will cover use cases across real-time analytics, logs monitoring, IoT data processing, transaction processing, blockchain analysis, ETL/ELT, microservices communication, and saga processing.

We'll start with a brief overview of the current state of data streaming technologies, setting the stage for deeper dives into each area. Attendees can share their experiences and discuss what has worked (or not) in their projects. This collaborative session aims to dissect the pros and cons of various stacks, including popular tools and platforms such as Kafka, Kinesis, RabbitMQ, Pulsar, Redpanda, Databricks, Spark, Flink, and more.

Schedule:

• 🍕 6pm - Food, drinks & networking!
• 🎤 7pm - Expert talk (see above)
• ☕ 8pm - Break
• ⚡ 8:15pm - Lightning talks
• 🍻 9pm - PUB!