A presentation at LJC Virtual Meetup in in London, UK by Robin Moffatt
Kafka is a whole lot more than just a message bus! It includes stream processing and integration capabilities, and this talk will be mostly live coding to demonstrate what can be built around it, how to do it - and why to do it.
Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again! Apache Kafka is a distributed, scalable, and fault-tolerant streaming platform, providing low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS, NoSQL, and object stores is simple with Kafka Connect, which is part of Apache Kafka. ksqlDB is the source-available SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface.
In this talk, we’ll explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect, and ksqlDB.
Gasp as we filter events in real-time! Be amazed at how we can enrich streams of data with data from RDBMS! Be astonished at the power of streaming aggregates for anomaly detection!
The following resources were mentioned during the presentation or are useful additional information.
Fully Managed Apache Kafka, Schema Registry, KSQL, and Connectors
Free eBooks to download, including “Kafka: The Definitive Guide”, and “I ❤️Logs”
Learn all about Kafka Connect (including the connectors available with ksqlDB)
Learn more about ksqlDB beyond what was covered in this talk
Details on the specifics of streaming changes from a database into Kafka.
Code and script to try out the workshop - you just need Docker Compose.
Here’s what was said about this presentation on Twitter.