Mastering spark with r: the complete guide to large-scale analysis and modeling,...
Описание
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. \n \nAuthors 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. \n
\n
- Analyze, explore, transform, and visualize data in Apache Spark with R
\n
- Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows
\n
- Perform analysis and modeling across many machines using distributed computing techniques
\n
- Use large-scale data from multiple sources and different formats with ease from within Spark
\n
- Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale
\n
- Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
\n
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