This is the code repository for Apache Kafka Quick Start Guide, published by Packt.
Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the fly. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines.
This book covers the following exciting features:
- How to validate data with Kafka
- Add information to existing data flows
- Generate new information through message composition
- Perform data validation and versioning with the Schema Registry
- How to perform message Serialization and Deserialization
- How to perform message Serialization and Deserialization
- Process data streams with Kafka Streams
- Understand the duality between tables and streams with KSQL
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
{
"event": "CUSTOMER_CONSULTS_ETHPRICE",
"customer": {
"id": "14862768",
"name": "Snowden, Edward",
"ipAddress": "95.31.18.111"
},
"currency": {
"name": "ethereum",
"price": "RUB"
},
"timestamp": "2018-09-28T09:09:09Z"
}
Following is what you need for this book: This book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however, a familiarity of Java or any JVM language will be helpful in understanding the code in this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-8).
| Chapter | Software required | OS required |
|---|---|---|
| 3, 4, 5, 6, 7, 8 | Apache Kafka 2.0.0 Gradle 4.0 or above Confluent Platform 5.0.0 | macOS or Linux distribution released after 2014 (Ubuntu/Redhat/Debian) |
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.
Fast Data Processing Systems with SMACK Stack
Fast Data Processing Systems with SMACK stack [Video]
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