Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applic

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applic pdf epub mobi txt 电子书 下载 2025

出版者:O'Reilly Media
作者:Fabian Hueske
出品人:
页数:220
译者:
出版时间:2018-7-25
价格:USD 42.11
装帧:Paperback
isbn号码:9781491974292
丛书系列:
图书标签:
  • Flink
  • 大数据
  • 流式计算
  • 分布式
  • stream
  • 计算机科学
  • O'Reilly
  • 计算机
  • Apache Flink
  • Stream Processing
  • Flink
  • Fundamentals
  • Streaming Applications
  • Data Processing
  • 实时计算
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具体描述

Get started with Apache Flink, the open source framework that enables you to process streaming data—such as user interactions, sensor data, and machine logs—as it arrives. With this practical guide, you’ll learn how to use Apache Flink’s stream processing APIs to implement, continuously run, and maintain real-world applications.Authors Fabian Hueske, one of Flink’s creators, and Vasia Kalavri, a core contributor to Flink’s graph processing API (Gelly), explains the fundamental concepts of parallel stream processing and shows you how streaming analytics differs from traditional batch data analysis. Software engineers, data engineers, and system administrators will learn the basics of Flink’s DataStream API, including the structure and components of a common Flink streaming application.Solve real-world problems with Apache Flink’s DataStream APISet up an environment for developing stream processing applications for FlinkDesign streaming applications and migrate periodic batch workloads to continuous streaming workloadsLearn about windowed operations that process groups of recordsIngest data streams into a DataStream application and emit a result stream into different storage systemsImplement stateful and custom operators common in stream processing applicationsOperate, maintain, and update continuously running Flink streaming applicationsExplore several deployment options, including the setup of highly available installations

作者简介

About the Author

Fabian Hueske is involved with Apache Flink since its very beginnings in 2009 as a research project called Stratosphere at TU Berlin. He is one of the three initial authors of the system and worked on it as part of his PhD research. Fabian is one of the initial committers and a PMC member of Apache Flink. He is a co-founder of data Artisans, a Berlin-based start-up devoted to foster Flink, where he works as a software engineer and contributes to Apache Flink. Fabian wrote several well-received blog posts about Flink and its internals (published at the Apache Flink blog http://flink.apache.org/blog, data Artisans’ blog http://data-artisans.com/blog, MapR blog, and Elastic blog).Vasiliki Kalavri is a PhD student at KTH, Stockholm, and UCL, Belgium, and an EMJD-DC fellow. She does research in distributed data processing and large-scale graph analysis.She is a committer and PMC member of Apache Flink, focusing her efforts on its graph processing library and API, Gelly.

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目录信息

Table of Contents
Chapter 1 Introduction into Data Stream Processing
Chapter 2 Stream Processing Fundamentals
Chapter 3 The System Architecture of Apache Flink
Chapter 4 Setting up a development environment for Apache Flink
Chapter 5 The DataStream API (v1.2.0)
Chapter 6 Windowed operations and Time
Chapter 7 Reading and writing data streams
Chapter 8 Stateful and Custom Operators
Chapter 9 Setting up Flink for Streaming Applications
Chapter 10 Operating Flink Streaming Applications
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读后感

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用户评价

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了解flink流处理框架背后的各种概念

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讲得比较细致和具体,比官方文档清楚不少。作为入门比较全面了,值得一读。谁有第10章的电子版能共享一下吗?

评分

讲得比较细致和具体,比官方文档清楚不少。作为入门比较全面了,值得一读。谁有第10章的电子版能共享一下吗?

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