Hi all, I am trying to deploy R code onto server. But for I think we need to install both MicrosoftML and mrsdeploy. But I get an error while trying to download
install.packages("MicrosoftML")
Installing package into ‘C:/Users/vinay/Documents/R/win-library/3.5’
(as ‘lib’ is unspecified)
Warning in install.packages :
package ‘MicrosoftML’ is not available (for R version 3.5.2)
```
install.packages("mrsdeploy")
Installing package into ‘C:/Users/vinay/Documents/R/win-library/3.5’
(as ‘lib’ is unspecified)
Warning in install.packages :
package ‘mrsdeploy’ is not available (for R version 3.5.2)
I believe those packages are only available for Microsoft R Open not for regular R, so they are not available on CRAN repositories, could you explain what are you trying to do with them?
I am trying to deploy my R code onto Microsoft server. Or could you guide me what is the best way to solve this.
The problem is I have huge dataset. Importing in R and performing the operations is very slow because of size. So I thought of running on Virtual machine like AWS or microsoft server.
Parallel processing capabilities make Microsoft Open R a tempting option but the downside is incompatibilities with the regular R ecosystem, if I was you I would load my data into a sql server and work using dbplyr, or if the data is even bigger, I would load it into a spark cluster and work with it using sparklyr + apache arrow.
Any of this options could be implemented on cloud computing services like AWS, Azure, Google Cloud Computing, etc.
Perfect. Appreciate if you have any material to study this integration. Because I am not from technical background (computer science). I am not sure as which article (in google) is best for this. So request you to guide me in understanding this concepts well