Javier Luraschi

Javier is experienced in technologies ranging from desktop, web, mobile and backend; to augmented reality and deep learning applications. He previously worked in Microsoft Research and SAP and holds a double degree in Mathematics and Software Engineering. Javier is the creator of packages like sparklyr, r2d3, cloudml and author of "Mastering Spark with R".


Datasets in Reproducible Research with 'pins'

rstudio::conf 2020

Datasets in Reproducible Research with 'pins'

February 4, 2020

Open source code is an essential piece in making science reproducible. Tools like 'rmarkdown' and GitHub facilitate running and sharing outcomes with colleagues and with the broad scientific community

Scaling R with Spark

rstudio::conf 2019

Scaling R with Spark

January 25, 2019

This talk introduces new features in sparklyr that enable real-time data processing, brand new modeling extensions and significant performance improvements.

Part 3 - Advanced features of sparklyr

Webinars

Part 3 - Advanced features of sparklyr

August 23, 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 2 - Extending Spark using sparklyr

Webinars

Part 2 - Extending Spark using sparklyr

August 17, 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.