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When it comes to machine learning, SQL Server provides a comprehensive platform for developers and data scientists. This blog post provides an introductory guide to SQL Server Machine Learning Services, demonstrating how to integrate it into your existing SQL Server workflow. Let’s get started!
What is SQL Server Machine Learning Services?
Machine Learning Services (In-Database) provides a platform for developing and deploying intelligent applications that leverage R and Python analytics. You can run R and Python scripts directly within T-SQL statements, reusing code and libraries from open-source resources and benefitting from parallelized and distributed computation.
Setting up Machine Learning Services
Before diving into the code, ensure that you have installed SQL Server Machine Learning Services. Go through the SQL Server setup wizard and select the ‘Machine Learning Services (In-Database)’ feature to install it.
Your First SQL Server Machine Learning Services Code
Now it’s time to get our hands dirty with some code! We’ll start with a simple script that leverages Python’s capabilities within SQL Server. Here’s what it looks like:
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EXEC s<a href="mailto:p_execute_external_script @language" >p_execute_external_script @language</a> =N'Python', @script=N'print(''Hello, SQL Server Machine Learning Services!'')' |
This code is using the stored procedure sp_execute_external_script. This stored procedure enables R and Python execution in SQL Server. Here we are specifying Python as our language of choice.
Fetching Data with Python
We can use Python to fetch and interact with data within SQL Server. Check out this simple code:
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EXEC s<a href="mailto:p_execute_external_script @language" >p_execute_external_script @language</a> = N'Python', @script = N' import pandas as pd data = pd.read_sql_query("SELECT * FROM MyTable", connection) print(data.head()) ' |
This code fetches the data present in ‘MyTable’ into a pandas dataframe and prints the first 5 rows of the dataset.
Conclusion
With this basic understanding and example code snippets, you should be able to get started using SQL Server Machine Learning Services. By integrating Python and R scripts with T-SQL, you can leverage the power of data manipulation and machine learning right in your SQL Server instances, enjoy!