R & Spark: How to Analyze Data Using RStudio's Sparklyr: by Nathan Stephens

[@tpflowspecialist]

This is surprisingly relevant after 3 years. Well done RStudio.

[@mohammedtaher3717]

I am very excited to learn this package and start implementing it. I think It can be a big hit because we all know that R is criticised for being slow on running ML algorithms, and there are not many options yet to enhance the power of the server.

[@kakibollywoodremixes8516]

Very informative. pls pls pls Tell how to do step 1. ' running spark on 8 node cluster' and how to connect to yarn

[@janchrusciel1882]

Nice talk. If you stay on your local MacBook can you see a différence (speedwise) for glms on say 100k observations?

[@KMuyeba]

Very good presentation. But error on my MacBook running R 3.4.4 and spark 2.6.1.0-129 says "sparklyr does not support Spark version: 2.6.1.0". Do you know how to resolve this?

Very informative talk. Thanks a lot!

[@him4u324]

excellent. it would definitely gonna help. it would great if you could share sqlVis_ggplot_raster wrappers

[@marvinakuffo4096]

Can you share these codes via github?

[@Skandawin78]

How to connect rstudio to databricks

[@cubicinfinity]

26:20 reminds me of Elon Musk. He kind of sounds and talks like him.

[@PatrickBateman12420]

:-)