Mastering Spark with R : the complete guide to large-scale analysis and modeling / Javier Luraschi, Kevin Kuo, and Edgar Ruiz.

Format:

Book

Author/Creator:

Luraschi, Javier, author.

Kuo, Kevin, author.

Ruiz, Edgar, author.

Language:

English

Subjects (All):

R (Computer program language).

Spark (Electronic resource : Apache Software Foundation).

Physical Description:

1 online resource (296 pages)

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly Media, Inc., [2020]

System Details:

text file

Summary:

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

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781492046325

1492046329

9781492046363

1492046361

9781492046349

1492046345

OCLC:

1123174078