Run R and Python Remotely in SQL Server from Jupyter Notebooks or any IDE

Did you know that you can execute R and Python code remotely in SQL Server from any IDE? This eliminates the need to move data around. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. You can work in Jupyter…

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Basics of R and Python Execution in SQL Server

In a previous post, we talked about how to set up Machine Learning Services in SQL Server. Now I will cover the basics of how to Execute R and Python in T-SQL statements. The video below will help you understand the basic syntax, parameter names, and data types used. I also summarized the key steps…

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Getting Started with Machine Learning Services in SQL Server

I would like to introduce you to some simple videos that will help you get started with Machine Learning Services in SQL Server. The videos below cover how to install and enable Machine Learning Services. After completing the instructions found here, you will be ready to execute R and Python in SQL Server. I summarized…

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Getting Started with Python Web Services using Machine Learning Server

Machine Learning Server 9.2 adds support for the full data science lifecycle of your Python-based analytics. In this article, we will go through step by step details of implementing data science lifecycle using Python. These steps include : Creating a VM configured as One-Box [using ARM Templates] Developing python models [using revoscalepy, microsoftml packages in any IDE]…