Good Luck is Needed with Old Versions
Today, Grant talks about reasons that companies don't upgrade.
SQL Logic
In this article, I will discuss the history and thinking behind several types of logic that are typically associated with writing relational database code.
Stairway to Advanced T-SQL Level 5: Turning Data On Its Side Using PIVOT Operator
The PIVOT operator was added to the Transact-SQL language in SQL Server 2005. It allows you to turn your row data on its side, so it can be presented as column data. This is useful when you want take unique column values and have them displayed as column headings, where the column headings are associated with summarized values displayed below each column heading. In this article I will be exploring how to use the PIVOT operator.
Toilets and Your Systems
Today, Grant Fritchey compares a disaster caused by a toilet to technical debt in IT.
Does Your GROUP BY Order Matter?
Sometimes when you do GROUP BY, the order of the columns does matter. For example, these two SELECT queries produce different results:
Seagull Management
Management is important to ensuring the success of a team. Steve talks about an anti-pattern that is often used by poor managers.
Unlocking Power with Updatable Views in SQL Server
An updatable view in SQL Server is a view that allows modifications such as INSERT, UPDATE, or DELETE operations on the underlying tables through the view.
Kubernetes For Complete Beginners
Container orchestration has become a cornerstone of modern application deployment. For beginners stepping into the world of modern application deployment and orchestration, understanding the essence and significance of Kubernetes is essential.
Do you listen to music when you work?
I want to make this a participation topic. When you are working, do you listen to music or do you need quiet? And if it isn’t music, do you do something else? TV, movies? For me, it is almost always music. As I write my first Database Weekly newsletter editorial in a few months, I […]
Identifying Customer Buying Pattern in Power BI - Part 1
In this article, we discuss market-based analysis techniques for customer purchasing patterns for different products over the years in Power BI.
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