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Thursday, June 8 • 10:00am - 11:00am
Introduction to Sparklyr

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This session will cover what sparklyr is, and how it can be used to analyze, visualize and perform machine learning in Spark from R. We will walk through installation, configuration, data wrangling with SQL or dplyr, modeling in MLlib or H2O. You’ll then get a detailed update on new sparklyr features and changes in sparklyr 0.5. We will demonstrate how to model data using popular data frameworks in seamless integration between Spark and R.

Speakers
avatar for Javier Luraschi

Javier Luraschi

Software Engineer, RStudio
Javier is the author of “Mastering Spark with R”, sparklyr, mlflow, pins and many other R packages for deep learning and data science. He holds a double degree in Math and Software Engineer and decades of industry experience with a focus on data analysis. He currently works in... Read More →



Thursday June 8, 2017 10:00am - 11:00am PDT
Galvanize 44 Tehama St.