Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
From change data capture (CDC) to business development, connecting Apache Kafka® environments, and customer success stories, Graham Hainbach discusses the possibilities of data integration with Kafka and Attunity using Replicate, Compose, and Manager. He also shares real-life examples of how Attunity best leverages Kafka in their systems.
Colin McCabe shares about what it’s like being a distributed systems engineer, how it differs from being a full stack engineer, and the importance of open source community involvement.
Lena Hall joins Tim Berglund in the studio to talk about Apache Kafka, the various ways to run Kafka on Microsoft Azure, Kafka on Kubernetes (K8s), and some exciting events that are happening in the Kafka world.
Gwen Shapira outlines KIP-402, which aims to improve fairness in how Apache Kafka® processes connections and how network threads pick up requests and new data. She also shares about her team’s efforts to make user-facing Kafka improvements.
When it comes to data modeling, Dani Traphagen covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.
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.
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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