Kafka in Action
- 7h 3m 42s
- Dave Klein, Dylan Scott, Viktor Gamov
- Manning Publications
Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects.
In Kafka in Action you will learn:
- Understanding Apache Kafka concepts
- Setting up and executing basic ETL tasks using Kafka Connect
- Using Kafka as part of a large data project team
- Performing administrative tasks
- Producing and consuming event streams
- Working with Kafka from Java applications
- Implementing Kafka as a message queue
Kafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you’ll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics.
about the technology
Think of Apache Kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With Kafka, you can easily build features like operational data monitoring and large-scale event processing into both large and small-scale applications.
about the book
Kafka in Action introduces the core features of Kafka, along with relevant examples of how to use it in real applications. In it, you’ll explore the most common use cases such as logging and managing streaming data. When you’re done, you’ll be ready to handle both basic developer- and admin-based tasks in a Kafka-focused team.
About the Author
Dylan Scott is a software developer in the insurance industry. Viktor Gamov is a Kafka-focused developer advocate. At Confluent, Dave Klein helps developers, teams, and enterprises harness the power of event streaming with Apache Kafka.
In this Audiobook
Chapter 1 - Introduction to Kafka
Chapter 2 - Getting to Know Kafka
Chapter 3 - Designing a Kafka Project
Chapter 4 - Producers: Sourcing Data
Chapter 5 - Consumers: Unlocking Data
Chapter 6 - Brokers
Chapter 7 - Topics and Partitions
Chapter 8 - Kafka Storage
Chapter 9 - Management: Tools and Logging
Chapter 10 - Protecting Kafka
Chapter 11 - Schema Registry
Chapter 12 - Stream Processing with Kafka Streams and KsqlDB
Appendix A: Installation
Appendix B: Client example