Funny Money: #SQLNewBlogger
While wandering around the documentation looking for some Question of the Day topics, I learned something new about the money data type. This post discusses what I learned. Another...
2026-06-10
107 reads
Blog Posts
Stop Using Pandas for Aggregations — Try DuckDB Instead
If you've ever loaded a 2 GB CSV into pandas just to run a few aggregations — and watched your machine struggle — there's a better tool for the...
2026-06-10 (first published: 2026-05-21)
581 reads
Understanding Fabric Ontology
What problem is Fabric Ontology trying to solve? For years, most data conversations have started with tables. We ask where the data lives, what columns are available, how the...
2026-06-10 (first published: 2026-05-20)
418 reads
Un-Migrating From the Cloud: T-SQL Tuesday #199
This month we have a very interesting invitation from Koen Verbeeck. He has hosted once before, and agreed to help me out this month by tackling another topic. We’ve...
2026-06-09
180 reads
Why Database AI Agents need Layers?
Third part in my Ai series with databases. When building AI solutions within the database realm the first thing that people do is a straightforward concept, connect the LLM...
2026-06-09
188 reads
QUOTENAME Basics: #SQLNewBlogger
Recently I ran across some code that used a lot of QUOTENAME() calls. A colleague was having some trouble with the code, but what struck me was that I...
2026-06-08 (first published: 2026-05-20)
450 reads
When growing companies outgrow Excel
There are some telltale signs that your growing business has outgrown Excel for your reporting needs. Excel is probably the most adopted piece of software out there, and I...
2026-06-08 (first published: 2026-05-20)
391 reads
Keeping your tech ego in check
In my usual twitter doom scrolling, I came across this post the other day Now it’s pretty obvious to me that this is one of the standard “engagement bait”...
2026-06-07
82 reads
A New Word: La Guadière
la guadière – n. a glint of goodness you notice in something that you wouldn’t expect, which is often only detectable by sloshing them back and forth in your...
2026-06-05
37 reads
AI Insights for Database Monitoring: A DBA’s Perspective
Second in a series on Ai and databases. One Story, three signals – I have a backup of a critical database that has failed three times, the recovery point...
2026-06-05 (first published: 2026-06-04)
47 reads
Blogs
PostgreSQL Support in the Data API Builder
By Steve Jones
Next week I’m at VS Live in San Diego (register and join me) and...
Ten Years of PowerShell
Ten years ago today, I filmed a Pluralsight Play by Play on open source...
T-SQL Tuesday #202: 100 Hours
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
Forums
Stored Procedures for Server-Level Object and Column Search
Comments posted to this topic are about the item Stored Procedures for Server-Level Object...
Databricks Genie Spaces for SQL Analysts: Natural Language Querying Without Leaving Your Data Platform
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
The Costs of Multiple Platforms
Comments posted to this topic are about the item The Costs of Multiple Platforms
Question of the Day
RegEx Functions II
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') AND BusinessEntityID IN (7,8)See possible answers