Javier Luraschi
Javier is the author of “Mastering Spark with R”, pins, sparklyr, mlflow and torch. He holds a double degree in Math and Software Engineer and decades of industry experience with a focus on data analysis. Javier is currently working on a project of his own; and previously worked in RStudio, Microsoft Research and SAP.
Using pins with Python and JavaScript
January 21, 2021
Last year, pins got released as a brand new R package to pin, discover and cache remote resources for R users.
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
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
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
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.
