Kafka in Action
暫譯: 《Kafka 實戰》

Scott, Dylan, Gamov, Viktor, Klein, Dave

Kafka in Action
  • 出版商: Manning
  • 出版日期: 2022-02-08
  • 售價: $1,740
  • 貴賓價: 9.5 折 $1,653
  • 語言: 英文
  • 頁數: 375
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 161729523X
  • ISBN-13: 9781617295232
  • 相關分類: Message Queue
  • 相關翻譯: Kafka 實戰 (簡中版)

    • 立即出貨 (庫存=1)

買這商品的人也買了...

相關主題

商品描述

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.

商品描述(中文翻譯)

掌握快速的 Apache Kafka 串流平台，透過實作範例和真實世界專案。

在《Kafka in Action》中，您將學習：

理解 Apache Kafka 概念
使用 Kafka Connect 設定和執行基本的 ETL 任務
在大型數據專案團隊中使用 Kafka
執行管理任務
生產和消費事件串流
從 Java 應用程式中使用 Kafka
將 Kafka 實作為消息佇列

《Kafka in Action》是一本快速介紹 Apache Kafka 各個方面的書籍。從 Kafka 的核心概念概述開始，您將立即學會如何設定和執行基本的數據移動任務，以及如何生產和消費事件串流。快速進入主題後，您將準備好在日常工作流程中使用 Kafka，並開始深入探討更高級的 Kafka 主題。

購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。

關於技術
將 Apache Kafka 視為一個高效能的軟體總線，促進事件串流、日誌記錄、分析和其他數據管道任務。使用 Kafka，您可以輕鬆地在大型和小型應用程式中構建操作數據監控和大規模事件處理等功能。

關於本書
《Kafka in Action》介紹了 Kafka 的核心功能，並提供了如何在實際應用中使用的相關範例。在書中，您將探索最常見的使用案例，例如日誌記錄和管理串流數據。完成後，您將能夠在以 Kafka 為重點的團隊中處理基本的開發者和管理任務。

內容概覽

Kafka 作為事件串流平台
來自 Java 應用程式的 Kafka 生產者和消費者
Kafka 作為大型數據專案的一部分

讀者對象
適合中級 Java 開發者或數據工程師。無需具備 Kafka 的先前知識。

作者簡介

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.

Viktor Gamov is a developer advocate at Confluent.

Dave Klein is a developer advocate at Confluent, with over 28 years of experience in the technology industry.

作者簡介(中文翻譯)

Dylan Scott 是一位擁有超過十年 Java 和 Perl 經驗的軟體開發人員。他的經驗包括在大型數據遷移中實施 Kafka 作為消息系統，並且他在保險行業的工作中使用 Kafka。

Viktor Gamov 是 Confluent 的開發者倡導者。

Dave Klein 是 Confluent 的開發者倡導者，擁有超過 28 年的科技產業經驗。

目錄大綱

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

目錄大綱(中文翻譯)

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

類似商品