Mastering Spark with R, 9781492046370
Paperback
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.

Mastering Spark with R

the complete guide to large-scale analysis and modeling

$89.26

  • Paperback

    288 pages

  • Release Date

    18 October 2019

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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 an…

Book Details

ISBN-13:9781492046370
ISBN-10:149204637X
Author:Javier Luraschi, Kevin Kuo, Edgar Ruiz
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:288
Release Date:18 October 2019
Weight:526g
Dimensions:233mm x 178mm
About The Author

Javier Luraschi

Javier is a software engineer with experience in technologies ranging from desktop, web, mobile and backend, to augmented reality and deep learning applications. He previously worked for Microsoft Research and SAP and holds a double degree in Mathematics and Software Engineering. He is the author of various R packages like sparklyr, cloudml, r2d3, mlflow, tfdeploy and kerasjs.Kevin builds open source libraries for machine learning and model deployment. He has held data science positions in various industries including insurance where he was a credentialed actuary. Kevin is the creator of mlflow, mleap, sparkxgb among various R packages. He is also an amateur mixologist and sommelier.Edgar Ruiz has a background in deploying enterprise reporting and business intelligence solutions. He is the author of multiple articles and blog posts sharing analytics insights and server infrastructure for data science. Edgar is the author and administrator of the db.rstudio.com web site, and the current administrator of the sparklyr web site. He’s also the co-author of the dbplyr package, and creator of the dbplot, tidypredict and the modeldb package.

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