The Evolution of AI
Artificial Intelligence systems might dramatically change our world, but they need lots of help and work to get better.
Database Build Breakers: Avoiding Constraint Violations during SQL Server Deployments
Phil Factor shows you how to prevent constraint violations from ‘breaking the build’, during SQL Compare deployments, by ferreting out any conflicting rows in advance, and developing a script to fix the data.
SQL Server Checkpoint Monitoring with Extended Events
In this article Aaron Bertrand looks at how to use SQL Server Extended Events to monitor performance of checkpoints for databases not using indirect checkpoints.
Introduction to STRING_SPLIT function in SQL
This article explains the T-SQL function STRING_SPLIT() and demonstrates a creative use for it.
What Happened to Hadoop?
For a time, it seemed that everyone wanted to build a Hadoop system. The world has changed, and that's not as popular an idea as it used to be. Today, Steve has a few thoughts.
Get Your Scalar UDFs to Run Faster Without Code Changes
Microsoft has added a group of features called Intelligent Query Processing to SQL Server 2017 and 2019. In this article, Greg Larsen explains one of the features, Scalar UDF Inlining.
New release: Mask SQL Server data 3x faster with Data Masker 7
In the latest version of Data Masker for SQL Server, it’s now much easier to rapidly identify sensitive data that needs masking, set up appropriate rules, see which masking rules are applied to which column, and locate what sensitive data you've yet to mask.
We’ve also improved the performance of commonly used masking rules, which lets you run masking operations 3 times faster.
Automatic Redaction of PII
Amazon is providing automatic redaction of PII data in there transcription service.
Mean Median Mode using SQL and DAX
This article explains how to calculate the important statistical functions, MEAN, MEDIAN, and MODE, in both T-SQL and DAX.
Reviewing Your Past Efforts
Today Steve starts a mid year review of his career goals and encourages you to do the same.
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