Action Over Knowledge
A big part of success is making an effort. Steve discusses the need to do things and not passively let life pass you by.
Metadata Driven Pipelines – Data Engineering with Fabric
This article explains metadata driven pipelines and shows an example in Microsoft Fabric.
Snake draft sorting in SQL Server, part 1
I recently had a restore job where I needed to split the work up into multiple parallel processes (which I’ll refer to here as “threads”). I wanted to balance the work so that the duration was something significantly less than the sum of the restore times
Exporting and Importing Registered Servers in SSMS
This article shows how to import and export a list of registered servers from SSMS.
Why Early Code Review is Important for Database Deployments
Today, Kendra Little talks about code reviews and why they should be done early.
Learning Spark SQL String Functions with Explanations and Code Examples
Learn how to use different Spark SQL string functions to manipulate string data with explanations and code examples.
One more reason to use foreign key constraints
Since the title might be considered a bit vague, I don’t want you to wade through the article to figure it out. I will spare you the typical clickbait introduction, with me telling you what a foreign key constraint is, and why it and all the other constraint types provided by relational engines are useful. […]
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.
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...
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...
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