Streaming Data Pipelines with Kafka goes beyond theory, providing you with actionable knowledge to build, deploy, and maintain robust real-time data pipelines. Whether you’re a data engineer, software developer, or a professional dealing with data integration challenges, this book equips you with the skills and know-how to navigate the world of streaming data with confidence.
This excerpt talks about a schema as a language agnostic description of an object, including the name, the fields on the object and the type of each field, and why you should use one.
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.
From Kafka in Action
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”.
From Kafka Streams in Action
By Bill Bejeck