Constraints and declarative referential integrity
Database systems have powerful features built right in that can ensure the integrity of data. In this article, Joe Celko discusses keys and constraints.
Introducing the PASS Data Community SUMMIT
Join the world’s largest gathering of data professionals at this year’s free online PASS Data Community SUMMIT. Connect and network with 1000s of your peers and learn from some of the brightest minds in the data industry. This year’s must-attend online event is completely free, so sign up now to be notified when registration opens.
Agree or Lose Features
Forcing users to agree to a new EULA or removing features seems like a bad idea to Steve.
Creating Deep and Shallow Delta Clones in Azure Databricks
In this article we will look at how to create deep and shallow clones of source data when using Azure Databricks.
Save the date: PASS Data Community Summit 2021
Simple Talk editor Kathi Kellenberger announces this year's free global online conference will take place on November 8 - 12. Save the date, and stay tuned for the Call for Speakers coming soon.
You are cordially invited to attend 2021 Virtual Data.SQL.Saturday.LA event!
We are reaching out to all people that enjoyed SQL Saturday in LA 2017, 2018, 2019, and 2020 events to let you know that the 2021 event is fast approaching. Only 30+ days remain until the June 12 Virtual Data.SQL.Saturday.LA event. Please register soon to reserve your spot by using http://2021sqlsatla.eventbrite.com/ hyperlink, register using a form below or just use a QR code.
Differential Privacy
Steve looks at a technique that some think will allow more data to be used in research and training.
Dimensionality Reduction Techniques - PCA, Kernel-PCA and LDA Using Python
Summary In this article, we will be looking at some of the useful techniques on how to reduce dimensionality in our datasets. When we talk about dimensionality, we are referring to the number of columns in our dataset assuming that we are working on a tidy and a clean dataset. When we have many columns […]
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