Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling
Javier Luraschi, Kevin Kuo, Edgar Ruiz
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
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
カテゴリー:
年:
2019
版:
1
出版社:
O'Reilly Media UK Ltd.
言語:
english
ページ:
288
ISBN 10:
149204637X
ISBN 13:
9781492046370
ファイル:
EPUB, 15.37 MB
IPFS:
,
english, 2019