Kafka in Action
Published on 16. March 2022
Book
Paperback/Softback
375 pages
978-1-61729-523-2 (ISBN)
Description
Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more.
In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.
Key Features
? Understanding Kafka's concepts
? Implementing Kafka as a message queue
? Setting up and executing basic ETL tasks
? Recording and consuming streaming data
? Working with Kafka producers and consumers from Java applications
? Using Kafka as part of a large data project team
? Performing Kafka developer and admin tasks
Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required.
About the technology
Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka.
Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry.
In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.
Key Features
? Understanding Kafka's concepts
? Implementing Kafka as a message queue
? Setting up and executing basic ETL tasks
? Recording and consuming streaming data
? Working with Kafka producers and consumers from Java applications
? Using Kafka as part of a large data project team
? Performing Kafka developer and admin tasks
Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required.
About the technology
Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka.
Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 186 mm
Thickness: 16 mm
Weight
514 gr
ISBN-13
978-1-61729-523-2 (9781617295232)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Dylan Scott | Viktor Gamov | Dave Klein
Kafka in Action
E-Book
03/2022
Manning
€49.44
Available for download
Person
Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry.