Using a column name in a COUNT function
Putting a column name in a COUNT() function may not always give you what you are looking for.
2015-01-30 (first published: 2013-10-15)
33,129 reads
Articles
How to get ETL Horribly Wrong
ETL ( Extract, transform, load) doesn't have to be like a spell on hell. To make a success of ETL systems, you need the freedom and ability to make graceful U-turns when you detect a mistake in architecture or configuration: to fix the root problem rather than to merely tackle the symptoms. Feodor lists the eight most common root causes of failure in ETL systems, and how to fix them.
2015-01-30
13,243 reads
Database ownership and TRUSTWORTHY
Database ownership is an old topic for SQL Server pro's. Check this simple lab to learn the risks your databases can be exposed to.
2015-01-29
11,517 reads
Using T-SQL to Perform Z-Score Column Normalization in SQL Server
In data mining, we sometimes need to perform techniques such as Z-score normalization on numeric data type columns to prevent one column from skewing or dominating the models produced by the machine learning algorithms. Dallas Snider explains how to perform this in SQL Server with T-SQL code.
2015-01-29
9,049 reads
Why Developers Need to Understand Execution Plans
If you can examine and understand execution plans, you can achieve better understanding of the database system and you will write better database code. Grant Fritchey shows you how.
2015-01-28
9,282 reads
Grant Fritchey Reviews Minion Reindex
Grant Fritchey reviews Midnight DBA's Minion Reindex, a highly customizable set of scripts that take on the task of rebuilding and reorganizing your indexes.
2015-01-27
2,639 reads
Finding Encrypted Data in a SQL Server Database
The easiest way to determine if there is encrypted data in a database is to get that information from whoever wrote the application. Aside from that, there are a few things you can look for which would suggest that you have encrypted data in a given database.
2015-01-27
7,810 reads
2015-01-26
12,078 reads
Discrete and Continuous Data in SQL
Not all data is discrete; some data types represent a continuum. In SQL, we have to approximate them and live with the special problems of handling continuous data. We need to understand the problems associated with continuous data types, when these will happen, and how it affects constraints and the results of queries. Joe Celko explains.
2015-01-26
8,731 reads
2015-01-23 (first published: 2013-10-08)
30,038 reads
Blogs
Au Revoir for now
By Steve Jones
No, I’m not quitting or retiring. Just going on vacation, but I leave tonight...
The SUM of Nothing: #SQLNewBlogger
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
Forums
Building a SQL Server Fleet Audit That Leadership Actually Reads
Comments posted to this topic are about the item Building a SQL Server Fleet...
Smart AI Agents and Data Security
Comments posted to this topic are about the item Smart AI Agents and Data...
RegEx Functions IV
Comments posted to this topic are about the item RegEx Functions IV
Question of the Day
RegEx Functions IV
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^D', 'i') AND BusinessEntityID IN (7,8)See possible answers