- Home
- Computers
- Data Modeling & Design
- Kafka in Action
Kafka in Action
List Price:
$44.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Dylan Scott, Viktor Gamov, Dave Klein
Format:
Paperback
Pages:
272
Publisher:
Manning (February 15, 2022)
Language:
English
ISBN-13:
9781617295232
ISBN-10:
161729523X
Dimensions:
7.375" x 9.25" x 0.6"
File:
Eloquence-SimonSchuster_05022026_P10038138_onix30_Complete-20260502.xml
Folder:
Eloquence
List Price:
$44.99
Series:
In Action
As low as:
$40.49
Publisher Identifier:
P-SS
Discount Code:
G
Weight:
19.12oz
Case Pack:
28
Pub Discount:
37
Imprint:
Manning
Overview
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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.
What's inside
Kafka as an event streaming platform
Kafka producers and consumers from Java applications
Kafka as part of a large data project
About the reader
For intermediate Java developers or data engineers. No prior knowledge of Kafka required.
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.
Table of Contents
PART 1 GETTING STARTED
1 Introduction to Kafka
2 Getting to know Kafka
PART 2 APPLYING KAFK
3 Designing a Kafka project
4 Producers: Sourcing data
5 Consumers: Unlocking data
6 Brokers
7 Topics and partitions
8 Kafka storage
9 Management: Tools and logging
PART 3 GOING FURTHER
10 Protecting Kafka
11 Schema registry
12 Stream processing with Kafka Streams and ksqlDB
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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.
What's inside
Kafka as an event streaming platform
Kafka producers and consumers from Java applications
Kafka as part of a large data project
About the reader
For intermediate Java developers or data engineers. No prior knowledge of Kafka required.
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.
Table of Contents
PART 1 GETTING STARTED
1 Introduction to Kafka
2 Getting to know Kafka
PART 2 APPLYING KAFK
3 Designing a Kafka project
4 Producers: Sourcing data
5 Consumers: Unlocking data
6 Brokers
7 Topics and partitions
8 Kafka storage
9 Management: Tools and logging
PART 3 GOING FURTHER
10 Protecting Kafka
11 Schema registry
12 Stream processing with Kafka Streams and ksqlDB
