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Kafka Streams in Action (MEAP V9)

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Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. Starting with a brief overview of Kafka and Stream Processing you'll discover everything you need to know to develop with Kafka Streams: from its APIs, to creating your first app. Using real-world examples based on the most common uses of distributed processing you'll learn to transform and collect data, work with multiple processors, aggregate data, and more. This book also teaches you about all important testing and integration techniques to ensure you'll never have to sacrifice functionality. By the end of the book, you'll be ready to use Kafka Streams in your projects to reap the benefits of the insight your data holds quickly and easily.

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MEAP Edition

Manning Early Access Program

Kafka Streams in Action

Real-time apps and microservices with the Kafka Streaming API

Version 9

For more information on this and other Manning titles go to

www.manning.com

©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and

other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders.

https://forums.manning.com/forums/kafka-streams-in-action

Licensed to samuel tsai <samuel_tsai@hotmail.com>

welcome

After several years of subscribing to Manning’s MEAPs, I’m excited now to welcome you

to the MEAP for my own book, Kafka Streams in Action!

These days, you can’t afford to ignore the hot topics of Big Data, streaming data, and

distributed programming. We’re at a point where stream processing has become an

increasingly important factor for businesses looking to harness the power from data

generated in real time. With 13 years in software development, I’ve spent the last six years

working exclusively on the back end, leading ingest teams, and handling large volumes of

data daily.

Kafka Streams makes it seamless to implement stream processing on the data flowing

into Kafka. So, while Kafka is a de facto standard in the industry for feeding and exporting

data, Kafka Streams represents a powerful new feature. In this book, I will teach you Kafka

Streams, so you, too, can add stream processing to your toolkit.

This is a particular exciting time, as this is the last MEAP release for Kafka Streams in

Action! All chapters and code examples have been updated for the new 1.0 API which came

out in October of 2017.

In addition the book has been updated per reviewer comments, so what you read here

should be very close the final published version.

While I’ve made every attempt to make sure the book is clear an accurate, feel free to

join me on the Kafka Streams in Action Author Forum

at manning.com, to ask questions,

offer feedback, and participate in the conversation to shape this book.

—Bill Bejeck

©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and

other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders.

https://forums.manning.com/forums/kafka-streams-in-action

Licensed to samuel tsai <samuel_tsai@hotmail.com>

brief contents

PART 1: GETTING STARTED WITH KAFKA STREAMS

1 Welcome to Kafka Streams

2 Kafka Quickly

PART 2: KAFKA STREAMS DEVELOPMENT

3 Developing Kafka Streams

4 Streams and State

5 The KTable API

6 The Processor API

PART 3: ADMINISTERING KAFKA STREAMS

7 Monitoring and Performance

8 Testing a Kafka Streaming Application

PART 4: ADVANCED CONCEPTS WITH KAFKA STREAMS

9 Advanced Applications with Kafka Streams

APPENDIXES:

A Additional Configuration Information

B Exactly Once Semantics

©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and

other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders.

https://forums.manning.com/forums/kafka-streams-in-action

Licensed to samuel tsai <samuel_tsai@hotmail.com>

In part 1 of this book, we’ll discuss the big data era: how it began with the need to

process large amounts of data and eventually progressed to stream

processing—processing data as it becomes available. We’ll also discuss what Kafka

Streams is, and I’ll show you a mental model of how it works without any code so you

can focus on the big picture. We’ll also briefly cover Kafka to get you up to speed on

how to work with it.

Part 1: Getting Started with Kafka Streams

©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and

other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders.

https://forums.manning.com/forums/kafka-streams-in-action

Licensed to samuel tsai <samuel_tsai@hotmail.com>

This chapter covers

In this book, you’ll learn how to use Kafka Streams to solve your streaming application

needs. From basic extract, transform, and load (ETL) to complex stateful transformations

to joining records, we’ll cover the components of Kafka Streams so you can solve these

kinds of challenges in your streaming applications.

Before we dive into Kafka Streams, we’ll briefly explore the history of big data

processing. As we identify problems and solutions, you’ll clearly see how the need for

Kafka, and then Kafka Streams, evolved. Let’s look at how the big data era got started

and what led to the Kafka Streams solution.

Welcome to Kafka Streams

Understanding how the big data movement changed the programming

landscape

Getting to know how stream processing works and why we need it

Introducing Kafka Streams

Looking at the problems solved by Kafka Streams

other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders.

https://forums.manning.com/forums/kafka-streams-in-action

Licensed to samuel tsai <samuel_tsai@hotmail.com>

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nieyaolong

2018-10-08

v9版本没错
溺水的鱼

2019-05-10

不错非常清晰~感谢分享

weixin_41640702

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