Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling (English Edition)

Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling (English Edition)

作者
Javier Luraschi、Kevin Kuo、Edgar Ruiz
语言
英语
出版社
O'Reilly Media 版次:1
出版日期
2019年10月7日
纸书页数
296页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
20733 KB
下载次数
3190
更新日期
2023-06-24
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.

Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.

Analyze, explore, transform, and visualize data in Apache Spark with R

Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows

Perform analysis and modeling across many machines using distributed computing techniques

Use large-scale data from multiple sources and different formats with ease from within Spark

Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale

Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

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