Unlock the power of SQL's NTILE function with our latest deep-dive article. Learn to segment your data effectively into quantiles for more nuanced analysis, discover common pitfalls and their solutions, and optimize your queries for peak performance.
2024-02-03 (first published: 2024-01-03)
3,762 reads
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
4,869 reads
Welcome to the fascinating world of SQL window functions! Today, we'll explore in detail: RANK() and DENSE_RANK().
2023-11-20 (first published: 2023-11-15)
4,083 reads
This article compares the performance of finding the most recent row in a child table for updates, looking at four possible solutions.
2023-07-10
3,365 reads
You can master engineering for your SQL Server databases, on premises or in the cloud, with a FREE toolkit!
2022-10-28
4,660 reads
Here's why you should NEVER use the FORMAT() function in SQL Server.
2022-08-05
19,239 reads
Introduction to Query history and server reports i...
2022-03-14
7,638 reads
It’s not difficult to set up an extended event session, but reviewing and saving the data can be complex. In this article, Edward Pollack demonstrates how to collect extended event data.
2021-11-03
SQL Server perfmon counters provide a wealth of information about performance. In this article, Fabiano Amorim shows how current wisdom about one counter, SQL Compilations/sec, can sometimes be misleading.
2021-08-20
SQL Server provides information for troubleshooting performance. Ed Pollack demonstrates collecting SQL Server performance monitor data.
2021-08-11
By Zikato
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Comments posted to this topic are about the item Baseball Everywhere
I am working on a small test script on SQL server 2022 using python...
I want to use the ADD SENSITIVITY CLASSIFICATION DDL to mark some columns in my SQL Server 2022 database as PII. Can I use this code?
ADD SENSITIVITY CLASSIFICATION TO dbo.sales.price,
dbo.sales.discount
WITH (
LABEL = 'Highly Confidential',
INFORMATION_TYPE = 'Financial',
RANK = 'INTERNAL ONLY'
); See possible answers