Master the wicked-fast Apache Kafka streaming platform through
hands-on examples and real-world projects.
In Kafka in Action you will learn:
Understanding Apache Kafka concepts
Setting up and executing basic ETL tasks using Kafka Connect
Using Kafka as part of a large data project team
Performing administrative tasks
Producing and consuming event streams
Working with Kafka from Java applications
Implementing Kafka as a message queue
Kafka in Action is a fast-paced introduction to every aspect of
working with Apache Kafka. Starting with an overview of Kafka's core
concepts, you'll immediately learn how to set up and execute basic data
movement tasks and how to produce and consume streams of events.
Advancing quickly, you'll soon be ready to use Kafka in your day-to-day
workflow, and start digging into even more advanced Kafka topics.
Purchase of the print book includes a free eBook in PDF, Kindle, and
ePub formats from Manning Publications.
About the technology
Think of Apache Kafka as a high performance software bus that
facilitates event streaming, logging, analytics, and other data pipeline
tasks. With Kafka, you can easily build features like operational data
monitoring and large-scale event processing into both large and
small-scale applications.
About the book
Kafka in Action introduces the core features of Kafka, along with
relevant examples of how to use it in real applications. In it, you'll
explore the most common use cases such as logging and managing streaming
data. When you're done, you'll be ready to handle both basic developer-
and admin-based tasks in a Kafka-focused team.
What's inside
Kafka as an event streaming platform
Kafka producers and consumers from Java applications
Kafka as part of a large data project
About the reader
For intermediate Java developers or data engineers. No prior knowledge
of Kafka required.
About the author
Dylan Scott is a software developer in the insurance industry.
Viktor Gamov is a Kafka-focused developer advocate. At Confluent,
Dave Klein helps developers, teams, and enterprises harness the
power of event streaming with Apache Kafka.
Table of Contents
PART 1 GETTING STARTED
1 Introduction to Kafka
2 Getting to know Kafka
PART 2 APPLYING KAFK
3 Designing a Kafka project
4 Producers: Sourcing data
5 Consumers: Unlocking data
6 Brokers
7 Topics and partitions
8 Kafka storage
9 Management: Tools and logging
PART 3 GOING FURTHER
10 Protecting Kafka
11 Schema registry
12 Stream processing with Kafka Streams and ksqlDB
