How to implement a T-SQL code formatting standard using SQL Prompt
Louis Davidson shows how to save a defined SQL formatting style as a shareable template that you can quickly share with your coworkers.
Why deadlines stink, and are so necessary
I hate deadlines. Really. I truly hate them. The problem is: they are usually unrealistic, often not much more than a wild guess. They restrict the amount of time that I can spend in preparation and research so that I can do things right; they squeeze the artistic quality out of my work as a […]
Introducing a DevOps Workgroup to Farm Credit Services of America
If you are introducing DevOps workflows into a large organization, you’ll need to plan carefully and prioritize tasks, adapt, maintain a thick skin, communicate constantly, and ensure that all...
What the heck is a DTU?
Andy Mallon explains DTUs (Database Transaction Units) and the differences you might see between the documentation and practical usage.
Display SSIS package version on the Control Flow design surface
In this article I will show a simple trick to display version information on the Control Flow surface, so we immediately see which version and build we are modifying.
Starting to Use SQL Server 2017
Today Steve Jones looks forward to the next version of SQL Server, with his curiosity to see if you feel the same way.
Getting Started with Azure SQL Data Warehouse - Part 3
Microsoft introduced Azure SQL Data Warehouse, a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just few minutes. In this article, Arshad Ali discusses the different types of tables you can create in SQL Data Warehouse, how they impact performance and the best practices around them.
SQL Server on Linux is Just SQL Server
Steve Jones looks at SQL Server on Linux and how this may differ from what most of us have worked with in the past.
Doing Fuzzy Searches in SQL Server
A series of arguments with developers who insist that fuzzy searches or spell-checking be done within the application rather then a relational database inspired Phil Factor to show how it is done. When the database must find relevant material from search terms entered by users, the database must learn to expect, and deal with, both expected and unexpected.
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...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
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