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.
Happy 100th episode! To celebrate, Ben Stopford asks Tim a range of questions from his career, his time at Confluent, Marvel vs. DC, and what he looks for in a new hire, to how to nail your next conference talk.
Gaining trust in your product, process, and the way you develop code requires the ability to explain those things well. Kelsey Hightower reflects on the journey that brought him to where he is today and how Kubernetes has evolved over the years too, including what makes Kubernetes so successful.
If you’ve ever wondered what Apache Kafka® is, what it’s used for, or wanted to learn Kafka architecture and all its components, buckle up! In today’s episode, Michael Noll and Tim Berglund discuss a series of fundamental questions: What is Kafka? What is an event? How do we organize and store events? And what is Kafka Streams?
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.
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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