Explore Courses Blog Tutorials Interview Questions
0 votes
1 view
in Azure by (5.8k points)

I am trying to run my R-code in the Azure Machine Learning environment, and I am running into a dead-end trying to import data from the blob storage.

Locally I can easily import a file like this:

data <- read.delim("myfile.xls", sep = "\t", skip = 9)

When I am using Azure machine learning, just referring to file in the blob storage location, I get the error "cannot open the connection".

data <- read.delim("", sep = "\t", skip = 9)

I have additionally attempted to import the file using the "Import Data" option, but it only allows one to import CSV files or excel-files with at the most one line to be skipped.

In the future, I will also need to import unstructured text into Azure Machine Learning. Is this really not possible using R?

1 Answer

0 votes
by (9.6k points)

Well, drop Import data onto the canvas and on the right-hand side you can see a panel. Enter all the required credentials. That will connect your Azure blob storage to ml studio. For more details, click here.

You can make use of Notebooks as well. 

Welcome to Intellipaat Community. Get your technical queries answered by top developers!

28.4k questions

29.7k answers


94.1k users

Browse Categories