From Kafka Streams in Action by Bill Bejeck
This article discusses KSQL, a brand-new open source, Apache 2.0 streaming SQL engine that enables stream processing with Kafka. Basically, it makes it easy to read, write, and process streaming data in real-time, at scale, using SQL-like semantics.
By Jean Georges Perrin
By Jason Kolter
By Dylan Scott
From Kafka Streams in Action by Bill Bejeck
In this article, we’re going to look deeper into adding state. Along the way, we’ll get introduced to new abstraction, the Ktable, after which we will move further on to discuss how event streams and database tables relate to one another in ApacheKafka (Kstream and Ktable, respectively).
From Kafka Streams in Action by Bill Bejeck
This article will quickly get you off the ground and show you how Kafka Streams works. We’re going to make a toy application that takes incoming messages and upper-cases the text of those messages, effectively yelling at anyone who reads the message. This application is called the “Yelling Application”.
By Bill Bejeck
From Spark in Action by Petar Zečević and Marko Bonaći.
When talking about Spark runtime architecture, we can distinguish the specifics of various cluster types from the typical Spark components shared by all. Here we describe typical Spark components that are the same regardless of the runtime mode you choose.
From Streaming Data by Andrew G. Psaltis
This article deals with cases where processing a message exactly once is important and how one can work around the related challenges.
From Event Streams in Action by Alexander Dean
In this article we generate a simple stream of events related to systems monitoring.