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.
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.
You will see here a way to handle history tables. This way only takes into account Date-based data cleanup but is easily generalizable.
What native SQL Server options are available to export to Excel? Jeremy Kadlec explains.
By Steve Jones
I got a notification from a question Iād posted at SQL Server Central: Getting...
By SQLPals
SQL Server sa Account Security: Rename, Disable & Best Practices In...
By Brian Kelley
Artificial Intelligence and quantum computing are two areas of emerging technology that receive most...
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I add this parameter to SQL Server 2025 in the Configuration Manager:
-mDynamicsWhat does this do? See possible answers