Developing Event-driven Applications with Apache Kafka and Red Hat AMQ Streams
In this chapter, you learned:
An event stream is a continuous flow of events without clearly defined limits, such as the number of events.
Apache Kafka provides the Kafka Streams library to implement distributed data streaming applications.
Each Kafka Streams pipeline defines a processing topology. A processing topology is a set of functions a streaming pipeline applies to each record.
Kafka Streams enables you to structure a stream of events as a table, and a table as a stream of events. This is called the stream-table duality.
Kafka Streams enables you to manipulate data streams by using the
KTable,GlobalKTable, andKStreamsobjects.
Welcome to the Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams group!
cschunke
26 wrz 2023
We are excited to launch a space dedicated to the Red Hat Training course Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams! To gain the most value from this group - click the "Join Group" button in the upper right hand corner of the group home page.We encourage group members to collaborate in this group to discuss topics, ask questions, share best practices and tips, provide course feedback, and share their accomplishments as it relates to AD482.Read more about Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams here.
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