The Mastering Azure Data Studio Series
A list of articles in my series on Azure Data Studio along with a few other links.
Introducing the New Stars of Data speakers for PASS Summit 2024
Three new speakers will be taking to the stage at this year's PASS Data Community Summit for the New Stars of Data Track. Sessions will be delivered by Haripriya Naidu, Vitalija Bartusevičiūtė, and Jarid McKenzie!
LIKE Constraints
In this article, I will cover a bit about the LIKE operator, including how it works, and a bit of history about why it is like it is. After establishing this, I will discuss a bit about how you can (and should) use the LIKE operator in your CHECK constraints to strengthen your data integrity.
Casino Night is Back
Casino Night from SQL Server Central is coming back to the PASS Data Community Summit.
Delta Table Performance Is Governed By Transaction Size: Data Engineering with Fabric
This next article examines the impact of transaction sizes on the performance of our Delta Parquet tables.
Event Streams for Persistent and Asynchronous Microservice Communication
This article looks at how you can use event sourcing to maintain persistent and asynchronous communication between microservices.
The Invisible Disk
Steve sees disk drives as shrinking to the point of being invisible to most of us.
Effective Strategies for Storing and Parsing JSON in SQL Server
Like XML, JSON is an open standard storage format for data, metadata, parameters, or other unstructured or semi-structured data. Because of its heavy usage in applications today, it inevitably will make its way into databases where it will need to be stored, compressed, modified, searched, and retrieved.
Knowing What You Don't Know
I used to think I knew everything. I felt like I had the world all figured out. But then, when I went to kindergarten, I realized that I didn't know much at all. As I grew older and finished college, I regained confidence in my knowledge and again felt like I knew everything about the […]
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