Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Todd Palino talks about the start of Apache Kafka® at LinkedIn, what learning to use Kafka was like, how Kafka has changed, and what he and others in the community hope for in the future of Kafka.
Colin McCabe and Jason Gustafson discuss the history of Kafka, the creation of KIP-500, and the implications of removing ZooKeeper dependency and replacing it with a self-managed metadata quoroum.
Author Dylan Scott tells all about his upcoming Manning title Kafka in Action, which shares how Apache Kafka® can be used by beginners who are just starting out their own projects. It also dispels common Hadoop-related myths, as Kafka has grown to become a powerful event streaming platform beyond big data ecosystems alone.
Tim Berglund (Senior Director of Developer Experience, Confluent) explains the Kafka Improvement Proposals (KIPs) and what’s new in Apache Kafka 2.3.
Chris Riccomini tells us how Apache Kafka® and the stream processing framework Samza came about, and also what he’s doing these days at WePay—building systems that use Kafka as a primary datastore.
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.
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.
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