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Streaming Audio Podcast

Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

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Episode 98May 4, 2020 | 48 min

Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

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?

Episode 97April 29, 2020 | 40 min

IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

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.

Episode 96April 24, 2020 | 11 min

Confluent Platform 5.5 | What's New in This Release + Updates

Confluent Platform 5.5 is out! This release includes improved schema management, Schema Registry support for Protobuf and JSON, better support for languages other than Java within the sphere of librdkafka, and an upgrade to ksqlDB.

Episode 95April 22, 2020 | 46 min

Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

During his time at Twitter, Sam Ritchie led the development of Summingbird, a project that helped Twitter ingest and process massive amounts of data, relieving some key pain points for developers at Twitter. In this episode, Sam dives teaches us some abstract algebra and explains how it has informed his attempts to make stream processing programs easy to write in a more general way.

Episode 94April 16, 2020 | 10 min

Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

Apache Kafka® 2.5 is here, and we’ve got some Kafka Improvement Proposals (KIPs) to discuss! Tim Berglund shares improvements and changes to over 10 KIPs all within the realm of Core Kafka, Kafka Connect, and Kafka Streams, including foundational improvements to exactly-once semantics, the ability to track a connector’s active topics, and adding a new co-group operator to the Streams DSL.

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Meet your hosts

Tim Berglund

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

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.

Got questions?

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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