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
3,836 reads
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
3,836 reads
This article covers the basics of how different AI tools can be used to write SQL.
2024-02-09 (first published: 2024-01-19)
8,605 reads
Learn how you can build a basic Flutter application that interacts with a SQLite database.
2023-10-06
10,371 reads
This article explores how to create and use views in SQL Server 2019 using SSMS.
2021-12-27
7,110 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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