No More Silos: Integrating Databases and Apache Kafka

A presentation at Kafka Summit New York 2019 in in New York, NY, USA by Robin Moffatt

Companies new and old are all recognising the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka streaming platform. With Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event-driven architectures and the population of multiple downstream systems.

In this talk, we’ll look at one of the most common integration requirements - connecting databases to Kafka. We’ll consider the concept that all data is a stream of events, including that residing within a database. We’ll look at why we’d want to stream data from a database, including driving applications in Kafka from events upstream. We’ll discuss the different methods for connecting databases to Kafka, and the pros and cons of each. Techniques including Change-Data-Capture (CDC) and Kafka Connect will be covered, as well as an exploration of the power of KSQL for performing transformations such as joins on the inbound data.

Resources

The following resources were mentioned during the presentation or are useful additional information.

Buzz and feedback

Here’s what was said about this presentation on social media.