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.

Use Cases
  • All Topics
  • Architecture
  • Ask Confluent
  • Big Ideas
  • Clients
  • Cloud
  • Distributed Systems Engineering
  • Event Streaming
  • Integration
  • Kafka
  • Kafka 101
  • Kafka Connect
  • Kafka Streams
  • ksqlDB
  • Kubernetes
  • Microservices
  • Platform
  • Schema Registry
  • Stream Processing
  • Streaming Audio Special
  • Use Cases
Subscribe
Episode 104June 8, 2020 | 51 min

Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge

Tim Baldridge joins us on Streaming Audio to talk about event streaming, stream processing use cases, and µKanren.

Episode 102May 27, 2020 | 42 min

Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden

Matt Simpson shares about how Kafka has helped Boden digitize their business, transitioning from catalogs to online sales, tracking stock, and identifying buying patterns. Matt also shares about what he's learned through using Kafka as well as the challenges of being a product master. And lastly, what is Matt excited for for the future of Boden? Find out in this episode!

Episode 77January 8, 2020 | 48 min

Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

One way to put Apache Kafka into action is geofencing and tracking the location data of objects, barges, and cars in real time. Guido Schmutz shares about one such use case involving a German steel company and the development project he worked on for them.

Episode 70November 27, 2019 | 58 min

Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood

Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.

Episode 50August 28, 2019 | 52 min

Helping Healthcare with Apache Kafka and KSQL ft. Ramesh Sringeri

Tim Berglund sits down with Ramesh Sringeri to discuss two Kafka use cases that Children's Healthcare of Atlanta is working on: achieving near-real-time streams of data to support meaningful intracranial pressure prediction and better manage intracranial pressure, and testing machine learning models with KSQL, Kafka Streams, and Kafka.

Page 1
  • Page 1
  • Page 2

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.

Email Us

Never miss an episode!

Be the first to get updates and new content

We will only share developer content and updates, including notifications when new content is added. We will never send you sales emails. 🙂 By subscribing, you understand we will process your personal information in accordance with our Privacy Statement.