Edgar Ruiz

Edgar Ruiz is a solutions engineer at RStudio with 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 https://db.rstudio.com web site, and current administrator of the sparklyr web site: https://spark.rstudio.com. Co-author of the dbplyr package, and creator of the dbplot, tidypredict and modeldb package.


Edgar Ruiz es un Ingeniero de Soluciones en RStudio. Es el administrador de los sitios oficiales de sparklyr y de R para bases de datos. También es autor de los paquetes de R: dbplot, tidypredict y modeldb, y co-autor de el paquete dbplyr.


Modeling in Databases with R

Webinars

Modeling in Databases with R

July 31, 2019

Find out how to further integrate databases and R. We will cover the latest on plotting, correlations, predictions and even fitting models inside databases, but using R code.

Programación con R

Webinars

Programación con R

March 19, 2019

Hay ocasiones que, cuando trabajamos en un análisis en R, necesitamos dividir nuestros datos en grupos, y después tenemos que correr la misma operación sobre cada grupo.

Databases using R: The latest

rstudio::conf 2019

Databases using R: The latest

January 23, 2019

Learn about the latest packages and techniques that can help you access and analyze data found inside databases using R. Many of the techniques we will cover are based on our personal and the communit

Usando R para la Ciencia de Datos

Webinars

Usando R para la Ciencia de Datos

May 25, 2018

La extracción de conocimiento mediante el análisis de datos es usualmente una tarea compleja y ardua. Las extensiones de R, llamadas paquetes, que son parte de lo que en inglés llamamos “Tidyverse”.

Best practices for working with databases

Webinars

Best practices for working with databases

March 30, 2018

Get the most out of joining R forces with database forces. We will review key concepts, share the latest in R packages, and demo useful techniques.

Part 4 - Understanding sparklyr deployment modes

Webinars

Part 4 - Understanding sparklyr deployment modes

August 30, 2017

sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.

Part 1 - Introducing an R interface for Apache Spark

Webinars

Part 1 - Introducing an R interface for Apache Spark

August 9, 2017

sparklyr facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library.