Kafka in Action is a practical, hands-on guide to building
Kafka-based data pipelines. Filled with real-world use cases and
scenarios, this book probes Kafka's most common use cases, ranging
from simple logging through managing streaming data systems for
message routing, analytics, and more. In systems that handle big
data, streaming data, or fast data, it's important to get your data
pipelines right. Apache Kafka is a wicked-fast distributed
streaming platform that operates as more than just a persistent log
or a flexible message queue. Key Features * Understanding Kafka's
concepts * Implementing Kafka as a message queue * Setting up and
executing basic ETL tasks * Recording and consuming streaming data
* Working with Kafka producers and consumers from Java applications
* Using Kafka as part of a large data project team * Performing
Kafka developer and admin tasks Written for intermediate Java
developers or data engineers. No prior knowledge of Kafka is
required. About the technology Apache Kafka is a distributed
streaming platform for logging and streaming data between services
or applications. With Kafka, it's easy to build applications that
can act on or react to data streams as they flow through your
system. Operational data monitoring, large scale message
processing, website activity tracking, log aggregation, and more
are all possible with Kafka. Dylan Scott is a software developer
with over ten years of experience in Java and Perl. His experience
includes implementing Kafka as a messaging system for a large data
migration, and he uses Kafka in his work in the insurance industry.
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