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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.

Stream Processing
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  • Event Streaming
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  • Kafka
  • Kafka 101
  • Kafka Connect
  • Kafka Streams
  • ksqlDB
  • Kubernetes
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Episode 87March 11, 2020 | 53 min

Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

TensorFlow is Google's version of wrangling various technologies to help group them together and work smoothly as large amounts of data flow through. Chris Mattmann, author of Machine Learning with TensorFlow, explains neural networks, how technology simulates cerebral processes that take place when our visual cortex receives a new image, and a use case that involves Apache Kafka® and event streaming to achieve TensorFlow's goals.

Episode 71December 4, 2019 | 38 min

Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner

Kai Waehner defines machine learning in depth, describes the architecture of his dream machine learning pipeline, shares its relevance to Apache Kafka and the related ecosystem, and discusses the importance of security and fraud detection.

Episode 34May 29, 2019 | 45 min

Why is Stream Processing Hard? ft. Michael Drogalis

Tim Berglund and Michael Drogalis talk about all things stream processing: why it’s complex, how it has evolved, and what’s on the horizon to make it simpler.

Episode 32May 16, 2019 | 50 min

Chris Riccomini on the History of Apache Kafka and Stream Processing

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.

Episode 31May 8, 2019 | 33 min

Ask Confluent #13: Machine Learning with Kai Waehner

Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.

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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