Machine Learning for Outlier Detection in R
A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.
A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.
TSQL Code must work properly and efficiently. That's not enough though. Unless you are working alone, have perfect memory and plan to never change job, then you need to comment and document your code, it must be inherently readable, well laid out, use informative and obvious names, and it must be robust and resilient; written defensively. It must not rely on deprecated features of SQL Server, or assume particular database settings. Robert Sheldon starts a series of articles that explains the basics.
A holiday in the US has Steve Jones thinking about compromise and communication.
In this post, Tim Smith looks at the different options you can use to audit your SQL Server extracts and loads during the ETL process.
You will see here a way to handle history tables. This way only takes into account Date-based data cleanup but is easily generalizable.
This week Steve asks you to make sure you practice your restore skills periodically.
Steve Jones saw a database design test for developers, but he's never been given one.
What native SQL Server options are available to export to Excel? Jeremy Kadlec explains.
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)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
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