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Saturday, January 29 • 12:30pm - 1:20pm
Build your own social media analytics with Apache

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Apache Kafka is more than just a messaging broker. It has a rich ecosystem of different components. There are connectors for importing and exporting data, different stream processing libraries, schema registries and a lot more. The first part of this talk will explain the Apache Kafka ecosystem and how the different components can be used to load data from social networks and use stream processing and machine learning to analyze them. The second part will show a demo running on Kubernetes which will use Kafka Connect to load data from Twitter and analyze them using the Kafka Streams API. After this talk, the attendees should be able to better understand the full advantages of the Apache Kafka ecosystem especially with focus on Kafka Connect and Kafka Streams API. And they should be also able to use these components on top of Kubernetes.

Session chairs: Justin Nixon and Michal Ruprich

Speakers
avatar for Jakub Scholz

Jakub Scholz

Principal Software Engineer, Red Hat
Jakub is a Principal Software Engineer in the Messaging and IoT team. He has a long-term experience in messaging and lately focuses mainly on Apache Kafka. He is one of the core maintainers of the Strimzi project, which delivers several operators and tools for running Apache Kafka... Read More →



Saturday January 29, 2022 12:30pm - 1:20pm CET
Session Room 4