Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Isaac Kunen discusses the Snowflake Kafka Connector and some of the unique challenges and adaptations it has had to undergo, as well as the interesting history behind the connector. In addition, he shares how Snowflake is taking on event streaming by implementing the Kafka connector and what he hopes to see in the future with Kafka releases.
There are two primary industries within the Internet of Things (IoT): industrial IoT (IIoT) and consumer IoT (CIoT), both of which can benefit from the Kafka ecosystem, including Kafka Streams and Kafka Connect.. Kai Waehner shares example use cases where he’s seen IoT integration in action, specifically focusing on Walmart and its real-time customer integration using the Walmart app.
Liz Bennett explains how she implemented Apache Kafka® at Stitch Fix, her previous employer, where she successfully introduced Kafka first through a Kafka hackathon and then by pitching it to the management team.
Learn about connectors, how they simplify data integrations, and how they're built for Confluent Cloud for use on major cloud providers like GCP, Azure, and AWS to help implement Apache Kafka within existing systems in an easy way.
Tim Berglund invites Hans-Peter Grahsl to share about his involvement in the Apache Kafka® project, spanning from several conference contributions all the way to his open source community sink connector for MongoDB, now part of the official MongoDB Kafka connector code base.
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
Gwen Shapira is an engineering leader at Confluent. She has over 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka: The Definitive Guide" and "Hadoop Application Architectures." Gwen is a frequent presenter at industry conferences, a PMC member on the Apache Kafka project, and a committer on Apache Sqoop™. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
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