Why Kafka Streams Does Not Use Watermarks ft. Matthias J. Sax
Streaming Audio: Apache Kafka® & Real-Time Data
English - November 12, 2020 14:00 - 52 minutes - 72 MB - ★★★★★ - 33 ratingsTechnology Education How To apache kafka confluent event stream processing cloud real-time data event driven architecture open source data in motion kafka cloud native Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Do you ever feel like you’re short on time? Well, good news! Confluent Software Engineer Matthias J. Sax is back to discuss how event streaming has changed the game, making time management more simple yet efficient.
Matthias explains what watermarking is, the reasons behind why Kafka Streams doesn’t use them, and an alternative approach to watermarking informally called the “slack time approach.”
Later, Matthias discusses how you can compare “stream time,” which is the maximum timestamp observed, to the watermark approach as a high-time watermark. Stick around for the end of the episode, where Matthias reveals other new approaches in the pipeline. Learn how to get the most out of your time on today’s episode of Streaming Audio!
EPISODE LINKS
Kafka Summit talk: The Flux Capacitor of Kafka Streams and ksqlDBWatermarks, Tables, Event Time, and the Dataflow ModelKafka Streams’ Take on Watermarks and TriggersJoin the Confluent Community SlackLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Kafka streaming in 10 minutes on Confluent CloudUse 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)