Expensive CPUs
Adding non-core database features to a system can expand its capabilities, but it can also be an expensive use of your hardware and software licenses.
2026-02-04
85 reads
Machine Learning Services (MLS)
Data Prediction with SQL Server Machine Learning Services, Python, and Linear Regression
Lean how to implement linear regression in SQL Server by running Python code on your data in SQL Server using Machine Learning Services.
2024-08-19
3,837 reads
Fixing MLS Python Services to Load the Runtime
Recently I went to work on a SQL Server 2017 instance and couldn't get the Python runtime to load. I'd keep getting this error: A strange error for me to see, and one that didn't quite make sense. How can the runtime not launch? However, restarting the instance still resulted in this error: Msg 39021, […]
2019-10-24
8,455 reads
Writing R Code in SQL Server - Level 3 of the Stairway to Machine Learning Services
In this level, learn about how to get the tools needing for coding in R and how to execute some code that connects to SQL Server.
2019-05-06
5,593 reads
A Quick Start to Running Python Code in SQL Server
With the addition of Python to Machine Learning Services in SQL Server 2017, you can now execute your Python code inside of SQL Server.
2020-11-13 (first published: 2019-04-18)
37,485 reads
2018-05-24
672 reads
2018-04-26
656 reads
Stairway to Machine Learning Services
This is a series designed to help you learn more about Machine Learning Services using both R and Python. We will cover the architecture, installation, configuration, and use of Machine Learning Services to run complex analysis on your data.
2018-04-25
4,374 reads
SQL Server Machine Learning Services – Part 5: Generating multiple plots in Python
Visualization is often the first step in analyzing data. Python makes visualization easy. In this article, Robert Sheldon demonstrates how to generate multiple charts from one dataset using Python with SQL Server Machine Learning Services.
2018-03-02
3,557 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers