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You are here		2019.jokerconf.com Practical change data streaming use cases with Apache Kafka and Debezium
\|	\|	www.morling.dev Conferences - Gunnar Morling	4.5 parsecs away Travel
\|	\|	This page gives an overview over some talks I have done over the last years. I have spoken at large conferences such as QCon San Francisco, Devoxx and JavaOne, local meet-ups as well as company-internal events, covering topics such as Debezium and Change Data Capture, Bean Validation, NoSQL and more. If you'd like to have me as a speaker at your conference or meet-up, please get in touch. 2025 Current (Bengaluru, India): Ins and Outs of the Outbox Pattern	4.5 parsecs away Travel
\|	\|	www.decodable.co Seven Ways to Put CDC to Work	5.4 parsecs away Travel
\|	\|	How CDC can help with microservices, caching, and more.	5.4 parsecs away Travel
\|	\|	archive.qconsf.com QCon San Francisco 2021 November 1-5, 2021 \| \| Practical Change Data Streaming Use Cases With Apache Kafka & Debezium	1.4 parsecs away Travel
\|	\|	Debezium (noun \| de·be·zi·um \| /d?:?b?:zi??m/) - Secret Sauce for Change Data Capture Apache Kafka is a highly popular option for asynchronous event propagation between microservices. Things get challenging though when adding a services database to the picture: How can you avoid inconsistencies between Kafka and the database? Enter change data capture (CDC) and Debezium. By	1.4 parsecs away Travel
\|	\|	lakefs.io The State of Data Engineering 2022 - Git for Data - lakeFS	47.7 parsecs away Travel
\|		An update on all the latest tools and trends in the data engineering space for 2022.	47.7 parsecs away Travel