Preface
What You Will Learn in This Book
This book will teach you everything you need to know about stream
processing with Apache Flink. It consists of 11 chapters that hopefully tell a
coherent story. While some chapters are descriptive and aim to introduce
high-level design concepts, others are more hands-on and contain many code
examples.
While we intended for the book to be read in chapter order when we were
writing it, readers familiar with a chapter’s content might want to skip it.
Others more interested in writing Flink code right away might want to read
the practical chapters first. In the following, we briefly describe the contents
of each chapter, so you can directly jump to those chapters that interest you
most.
Chapter 1 gives an overview of stateful stream processing, data
processing application architectures, application designs, and the
benefits of stream processing over traditional approaches. It also
gives you a brief look at what it is like to run your first streaming
application on a local Flink instance.
Chapter 2 discusses the fundamental concepts and challenges of
stream processing, independent of Flink.
Chapter 3 describes Flink’s system architecture and internals. It
discusses distributed architecture, time and state handling in
streaming applications, and Flink’s fault-tolerance mechanisms.
Chapter 4 explains how to set up an environment to develop and
debug Flink applications.
Chapter 5 introduces you to the basics of the Flink’s DataStream
API. You will learn how to implement a DataStream application and
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