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Stream processing
on Apache Kafka
with Event Streaming with Kafka Streams
and ksqlDB.
Take 40% off by entering slbejeck2 into
the discount code box at checkout at
manning.com.
The lightweight Kafka Streams
library provides exactly the power
and simplicity you need for event-
based applications, real-time event
processing, and message handling in
microservices.
The ksqlDB database makes it a snap
to create applications that respond
immediately to events, such as real-
time push and pull updates.
This totally revised new edition of
Kafka Streams in Action has been
expanded to cover more of the
Kafka platform used for building
event-based applications.
You’ll also find full coverage of
ksqlDB, an event streaming
database purpose-built for stream
processing applications.
Event Streaming with Kafka Streams and ksqlDB teaches you to implement
stream processing within the Kafka platform. In it, you’ll explore real-
world examples to collect, transform, and aggregate data, work with
multiple processors, and handle real-time events. Practical to the very
end, it finishes with testing and operational aspects, such as monitoring,
debugging, and gives you the opportunity to explore a few end-to-end
projects.
About the author:
Bill Bejeck is a Confluent engineer
and a Kafka Streams contributor
with over 15 years of software
development experience. Bill is also
a committer on the Apache KafkaⓇ
project.
Take 40% off Event Streaming with Kafka
Streams and ksqlDB by entering
slbejeck2 into the discount code box at
checkout at manning.com.
If you want to learn more about the
book, check it out on our browser-based
liveBook reader here.

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Event Streaming with Kafka Streams and ksqlDB

  • 1. Stream processing on Apache Kafka with Event Streaming with Kafka Streams and ksqlDB. Take 40% off by entering slbejeck2 into the discount code box at checkout at manning.com.
  • 2. The lightweight Kafka Streams library provides exactly the power and simplicity you need for event- based applications, real-time event processing, and message handling in microservices. The ksqlDB database makes it a snap to create applications that respond immediately to events, such as real- time push and pull updates.
  • 3. This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database purpose-built for stream processing applications.
  • 4. Event Streaming with Kafka Streams and ksqlDB teaches you to implement stream processing within the Kafka platform. In it, you’ll explore real- world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. Practical to the very end, it finishes with testing and operational aspects, such as monitoring, debugging, and gives you the opportunity to explore a few end-to-end projects.
  • 5. About the author: Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache KafkaⓇ project.
  • 6. Take 40% off Event Streaming with Kafka Streams and ksqlDB by entering slbejeck2 into the discount code box at checkout at manning.com. If you want to learn more about the book, check it out on our browser-based liveBook reader here.