No More Silos: Integrating Databases into Apache Kafka®

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Presented by

Robin Moffatt, Developer Advocate, Confluent

About this talk

Companies new and old are all recognizing the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka® streaming platform. With Apache 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 Apache 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 Apache Kafka from events upstream. We’ll discuss the different methods for connecting databases to Apache Kafka, and the pros and cons of each. Techniques including Change-Data-Capture (CDC) and Apache Kafka Connect will be covered, as well as an exploration of the power of KSQL, streaming SQL for Apache Kafka, for performing transformations such as joins on the inbound data. Register now to learn: •Why databases are just a materialized view of a stream of events •The best ways to integrate databases with Apache Kafka •Anti-patterns to be aware of •The power of KSQL for transforming streams of data in Apache Kafka
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Confluent is building the foundational platform for data in motion. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.