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How to connect Azure Machine Learning Studio to Google BigQuery?

We are trying to use Vector Vector Machines to predict in our dataset, but with 70,000 rows and 7 functions - we tried SVM in Google DataLabs, but our dataset is too large to count on DataLabs VM at any reasonable time.

We would like to use an approach that scales statistical approaches in processor cores, such as the version of Revolution Analytics R on Azure Machine Learning Studio, but our data is in Google BigQuery.

How do we connect R script to Azure Machine Learning Studio to use our dataset in Google BigQuery?

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You can pull data from Execute Python script module using http request or sdk for Google python ( https://cloud.google.com/bigquery/exporting-data-from-bigquery ). than add an "Execute R script" with your logic

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Source: https://habr.com/ru/post/1247654/

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