本站提供 8500 多本免费的 IT 技术电子书在线下载。
  1. 文章总数:8362
  2. 浏览总数:119,902
  3. 评论:0
  4. 分类目录:124 个
  5. 注册用户数:3
  6. 最后更新:2019年10月10日
过往记忆博客公共帐号iteblog_hadoop
欢迎关注微信公共帐号:
iteblog_hadoop

Stream Processing with Apache Flink

大数据 iteblog 79℃ 0评论

关注 过往记忆大数据 微信公众号,回复 8415 获取本书下载地址。

子标题:Fundamentals, Implementation, and Operation of Streaming Applications

Stream Processing with Apache Flink
作者:
Fabian Hueske, Vasiliki Kalavri
ISBN-10:
149197429X
出版年份:
2019
页数:
280
语言:
English
文件大小:
10.2 MB
文件格式:
PDF

图书描述

Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing.

Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them.

  • Learn concepts and challenges of distributed stateful stream processing
  • Explore Flink’s system architecture, including its event-time processing mode and fault-tolerance model
  • Understand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperators
  • Read data from and write data to external systems with exactly-once consistency
  • Deploy and configure Flink clusters
  • Operate continuously running streaming applications

下载地址

关注 过往记忆大数据 微信公众号,回复 8415 获取本书下载地址。

如图书无法下载,请加微信 fangzhen0219 反馈。
喜欢 (1)or分享 (0)
发表我的评论
取消评论

表情
本博客评论系统带有自动识别垃圾评论功能,请写一些有意义的评论,谢谢!