45 min listen
Easier Stream Processing On Kafka With ksqlDB
Easier Stream Processing On Kafka With ksqlDB
ratings:
Length:
44 minutes
Released:
Mar 2, 2020
Format:
Podcast episode
Description
Building applications on top of unbounded event streams is a complex endeavor, requiring careful integration of multiple disparate systems that were engineered in isolation. The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. In this episode Michael Drogalis, product manager for ksqlDB at Confluent, explains how the system is implemented, how you can use it for building your own stream processing applications, and how it fits into the lifecycle of your data infrastructure. If you have been struggling with building services on low level streaming interfaces then give this episode a listen and try it out for yourself.
Released:
Mar 2, 2020
Format:
Podcast episode
Titles in the series (100)
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