Migrating Schema Between Platforms
The decision to change platforms isn't one Steve Jones takes lightly.
Properly Persisted Computed Columns
Paul White walks through a new trace flag in SQL Server 2016 designed to yield better execution plans (and performance) for queries involving computed columns.
Statistics in SQL: Kendall’s Tau rank correlation
Statistical calculations in SQL are often perfectly easy to do. SQL was designed to be a natural fit for calculating correlation, regression and variance on large quantities of data. It just isn't always immediately obvious how. In the second of a series of articles, Phil factor shows how calculating a non-parametric correlation via Kendall's Tau or Spearman's Rho can be stress-free.
DevOps Can Help
DevOps can help, not just development, but also infrastructure, if you spend time adapting the practices to your environment.
Help for DBAs Who Support SSIS…
SSIS Catalog Compare helps DBAs work with their SSIS project configurations and catalogs, deploying changes from environment to environment.
Scoring Outliers with R
What is normal? More to the point, what is abnormal? We will look at using R to score outliers in a typical monitoring dataset.
Your Job Description
This Friday Steve Jones talks about job posting and descriptions. This is the chance to think about what you do and how you might describe this to your replacement.
Use T-SQL to Find Folders Using the Most Disk Space
Your SQL Server drives are running out of disk space and you want a way to quickly tell which sub-directories are taking the most space - here's how to do it with T-SQL.
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