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By: William P. Bejeck Jr. (Author)
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Kafka Streams is a library designed to allow for easy stream
processing of data flowing into a Kafka cluster. Stream processing has
become one of the biggest needs for companies over the last few years
as quick data insight becomes more and more important but current
solutions can be complex and large, requiring additional tools to
perform lookups and aggregations.
Kafka Streams in Action teaches readers everything they need to know
to implement stream processing on data flowing into their Kafka
platform, allowing them to focus on getting more from their data
without sacrificing time or effort. By the end of the book, readers will
be ready to use Kafka Streams in their projects to reap the benefits of
the insight their data holds quickly and easily.
Kafka Streams is a library designed to allow for easy stream
processing of data flowing into a Kafka cluster. Stream processing has
become one of the biggest needs for companies over the last few years
as quick data insight becomes more and more important but current
solutions can be complex and large, requiring additional tools to
perform lookups and aggregations.
Kafka Streams in Action teaches readers everything they need to know
to implement stream processing on data flowing into their Kafka
platform, allowing them to focus on getting more from their data
without sacrificing time or effort. By the end of the book, readers will
be ready to use Kafka Streams in their projects to reap the benefits of
the insight their data holds quickly and easily.
KEY FEATURES
• Hands-on lessons
• Step-by-step instructions
• Thorough introduction to Kafka Streams
This book is suitable for all Java (or JVM language) developers
looking to discover the world of stream processing and its many
benefits. Knowledge of Kafka is not required, but would be a bonus.
ABOUT THE TECHNOLOGY
Kafka Streams is a library that allows you to perform per-event
processing of records.
AUTHOR BIO
Bill Bejeck is a Kafka Streams contributor with over 13 years of software
development experience. With 6 years working exclusively on the back-end
and large data volumes, Bill currently uses Kafka to improve data flow to
downstream customers.
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