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
ISACA AI Material/Exam Prep Discount (May 18 – June 30, 2026)
By Brian Kelley
If you are considering any of the ISACA AI certs like the Advanced Artificial...
A Fabric solution can be very cost effective
By ChrisJenkins
Are you currently using Microsoft Fabric or considering migrating to it? If so, there...
Track SQL Server Configuration Changes Using the Error Log
By SQLPals
Track SQL Server Configuration Changes Using the Error Log If you...
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SQL Server Showing Out of Space But Plenty of Drive Space
We have a SQL Server installed. We have a 500GB drive for the database....
Question of the Day
Creating a JSON Document IV
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers