Doing the Little Things
There are a lot of tasks that DBAs and developers struggle to get done. These little things can be important, and perhaps AI can help us keep on top of them.
Seeding a Fabric Warehouse with dbt for Visual Studio Code: The Fabric Modern Data Platform
In this next installment, we look at using dbt to seed a Fabric Warehouse.
What are database keys? A practical guide
There’s not much to database keys, right? When you build a new table, you add a column to act as the primary key, then set it to auto-generate. Done. That’s all there is to know…right?
Everything is the right question away
When working with an AI LLM, you have so much knowledge at your fingertips.
Vectors in SQL Server 2025
Introduction SQL Server 2025 introduced new features, including vectors. The main purpose of vectors is to create a new semantic search with the help of AI. Modern AI models represent text as vectors (embeddings) that capture semantic meaning. Similar meanings produce vectors that are close to each other in this vector space, allowing AI systems to […]
SQL Server Concurrency Issues with Parallel Query Plans
Parallelism can reduce concurrency. This is a strong reason not to allow SQL Server to execute queries aggressively in parallel mode. In this tip, I will set up a demo to show that parallelism reduces query performance on a server with high concurrency.
SQL Server Transactional Replication from Always On Availability Groups to Azure SQL Database
Learn how you can add transactional replication to an AG to move data to an Azure SQL Database.
Why disabling the SQL Server sa account still matters in 2026
Every few years, someone asks a familiar question: do we really still need to disable the sa account in SQL Server? After all, it’s 2026. SQL Server has better encryption, better auditing, better defaults, and more security features than ever before. Surely this old guidance belongs in the past?
Answering Questions On Dropped Columns
Answering a couple of questions from the previous posts about dropping columns.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Using OPENJSON
Comments posted to this topic are about the item Using OPENJSON
Data Modeling with dbt for Visual Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Data Modeling with dbt for...
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers