Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems.
Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®, Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.
Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
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 Apache Kafka® ecosystem, including Kafka Streams and Kafka Connect. Kai Waehner, who works in the advanced tech group at Confluent with customers, defining their needs, use cases, and architecture, shares example use cases where he’s seen IoT integration in action. He specifically focuses on Walmart and its real-time customer integration using the Walmart app. Kafka Streams helps fine-tune the Walmart app, optimizing the user experience, offering a seamless omni-channel experience, and contributing to business success.
Other topics discussed in today’s episode include integration from various legacy and modern IoT data sources, latency sensitivity, machine learning for quality control and predictive maintenance, and when event streaming can be more useful than traditional databases or data lakes.
EPISODE LINKS
- Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs
- Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner
- Blog posts by Kai Waehner
- Processing IoT Data from End to End with MQTT and Apache Kafka®
- End-to-End Integration: IoT Edge to Confluent Cloud
- Apache Kafka is the New Black at the Edge in Industrial IoT, Logistics, and Retailing
- Apache Kafka, KSQL, and Apache PLC4X for IIoT Data Integration and Processing
- Streaming Machine Learning at Scale from 100,000 IoT Devices with HiveMQ, Apache Kafka, and TensorFlow
- Event-Model Serving: Stream Processing vs. RPC with Kaf
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
- 🎧 Subscribe to Confluent Developer wherever you listen to podcasts.
- ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes.
- 👍 If you enjoyed this, please leave us a rating.
- 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
