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Apache Kafka Quick Start Guide

You're reading from Apache Kafka Quick Start Guide Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781788997829

Length 186 pages

Edition 1st Edition

Languages

Java

Tools

Kafka

Concepts

Data Processing

Author (1):

Raúl Estrada

View More author details

Table of Contents (10) Chapters

Preface

1. Configuring Kafka FREE CHAPTER

2. Message Validation

3. Message Enrichment

4. Serialization

5. Schema Registry

6. Kafka Streams

7. KSQL

8. Kafka Connect

9. Other Books You May Enjoy

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Kafka Connect

In this chapter, instead of using the Kafka Java API for producers and consumers, Kafka Streams, or KSQL as in previous chapters, we are going to connect Kafka with Spark Structured Streaming, the Apache Spark solution to process streams with its Datasets API.

This chapter covers the following topics:

Spark Streaming processor
Reading Kafka from Spark
Data conversion
Data processing
Writing to Kafka from Spark
Running the SparkProcessor

The rest of the chapter is locked

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Authors (1)

Estrada

Estrada

Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves all topics related to computer science. With more than 15 years of experience in high-availability and enterprise software, he has been designing and implementing architectures since 2003. His specialization is in systems integration, and he mainly participates in projects related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc., but he also enjoys web, mobile, and game programming. Raúl is a supporter of free software and enjoys experimenting with new technologies, frameworks, languages, and methods. Raúl is the author of other Packt Publishing titles, such as Fast Data Processing Systems with SMACK and Apache Kafka Cookbook.

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