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Kafka Streams in Action (Manning, 2017, MEAP Edition)

Kafka

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MEAP Edition, Manning Early Access Program, Kafka Streams in Action, Version 4 PART 1: GETTING STARTED WITH KAFKA STREAMS PART 2: KAFKA STREAMS DEVELOPMENT PART 3: ADMINISTERING KAFKA STREAMS PART 4: ADVANCED CONCEPTS WITH KAFKA STREAMS

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MEAPEdition

ManningEarlyAccessProgram

KafkaStreamsinAction

Version4

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FormoreinformationonthisandotherManningtitlesgoto

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©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

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 is what I use to improve the data flow downstream, and 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 data flow.

Please remember, these chapters are still works in progress, and will definitely get more

polished by the time the book is complete. And 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

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 Performance Monitoring

8 Testing

PART 4: ADVANCED CONCEPTS WITH KAFKA STREAMS

9 Advanced Applications with Kafka Streams

10 Comparisons to Other Streaming Frameworks

APPENDIXES

A Transactions – Exactly Once Semantics in Kafka and Kafka Streams

B Configuration – How to Configure Your Kafka Streams Application

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

In this chapter

If you take a look around at the modern programming landscape, it has exploded with

'Big Data' frameworks and technologies. Sure client side development has undergone

transformations of its own and mobile device applications have exploded as well. But no

matter how big the mobile device market gets or how client side technologies evolve,

there is one constant; we need to process more and more data every day. As the amount

of data grows, the need to analyze and leverage the benefit from that data grows at the

same rate.

But having the ability to process large quantities of data in bulk amounts (batch

processing) is not always enough. Increasingly, organizations are finding there is a need

to process data as it is available (stream processing). Kafka Streams, a cutting edge

approach to stream processing, is a library that allows you to perform per-event

processing of records. By per-event processing, I mean the ability to work on data as it

arrives. Per-event processing means you process each single record as soon as it is

available; there is no grouping data together in small batches, no 'micro-batching,'

required.

Welcome to Kafka Streams

The "Big Data" movement and how it changed the programming

landscape

The Need for Stream Processing

How Stream Processing works

Introducing Kafka Streams

What Problems Kafka Streams solves

1.1 The "Big Data" movement and how it changed the programming

landscape

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

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