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:8391
  2. 浏览总数:628,593
  3. 评论:0
  4. 分类目录:125 个
  5. 注册用户数:31
  6. 最后更新:2019年11月22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

High Performance Spark

数据库 iteblog 88℃ 0评论

关注 过往记忆大数据 微信公众号,回复 7301 获取本书下载地址。

子标题:Best Practices for Scaling and Optimizing Apache Spark

High Performance Spark
作者:
Holden Karau, Rachel Warren
ISBN-10:
1491943203
出版年份:
2017
页数:
358
语言:
English
文件大小:
7.1 MB
文件格式:
PDF

图书描述

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources.

Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing.

With this book, you’ll explore:

  • How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure
  • The choice between data joins in Core Spark and Spark SQL
  • Techniques for getting the most out of standard RDD transformations
  • How to work around performance issues in Spark’s key/value pair paradigm
  • Writing high-performance Spark code without Scala or the JVM
  • How to test for functionality and performance when applying suggested improvements
  • Using Spark MLlib and Spark ML machine learning libraries
  • Spark’s Streaming components and external community packages

下载地址

关注 过往记忆大数据 微信公众号,回复 7301 获取本书下载地址。

如图书无法下载,请加微信 fangzhen0219 反馈。
喜欢 (0)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!