Player FM 앱으로 오프라인으로 전환하세요!
How to Build a Reactive Event Streaming App - Coding in Motion
Manage episode 341661400 series 2355972
How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programming workshop—Coding in Motion: Watching the River Flow, to demonstrate how you can build a reactive event streaming application with Apache Kafka®, ksqlDB using Python.
As a developer advocate, Kris often speaks at conferences, and the presentation will be available on-demand through the organizer’s YouTube channel. The desire to read comments and be able to interact with the community motivated Kris to set up a real-time event streaming application that would notify him on his mobile phone.
During the workshop, Kris will demonstrate the end-to-end process of using Python to process and stream data from YouTube’s REST API into a Kafka topic, analyze the data with ksqlDB, and then stream data out via Telegram. After the workshop, you’ll be able to use the recipe to build your own event-driven data application.
EPISODE LINKS
- Coding in Motion: Building a Reactive Data Streaming App
- Watch the video version of this podcast
- Kris Jenkins’ Twitter
- Streaming Audio Playlist
- Join the Confluent Community
- Learn more with Kafka tutorials, resources, and guides at Confluent Developer
- Live demo: Intro to Event-Driven Microservices with Confluent
- Use PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
265 에피소드
Manage episode 341661400 series 2355972
How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programming workshop—Coding in Motion: Watching the River Flow, to demonstrate how you can build a reactive event streaming application with Apache Kafka®, ksqlDB using Python.
As a developer advocate, Kris often speaks at conferences, and the presentation will be available on-demand through the organizer’s YouTube channel. The desire to read comments and be able to interact with the community motivated Kris to set up a real-time event streaming application that would notify him on his mobile phone.
During the workshop, Kris will demonstrate the end-to-end process of using Python to process and stream data from YouTube’s REST API into a Kafka topic, analyze the data with ksqlDB, and then stream data out via Telegram. After the workshop, you’ll be able to use the recipe to build your own event-driven data application.
EPISODE LINKS
- Coding in Motion: Building a Reactive Data Streaming App
- Watch the video version of this podcast
- Kris Jenkins’ Twitter
- Streaming Audio Playlist
- Join the Confluent Community
- Learn more with Kafka tutorials, resources, and guides at Confluent Developer
- Live demo: Intro to Event-Driven Microservices with Confluent
- Use PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)
265 에피소드
모든 에피소드
×플레이어 FM에 오신것을 환영합니다!
플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.