Datatypes and the Default Mask with Dynamic Data Masking - Step 2 of the Stairway to Dynamic Data Masking
This article digs deeper into the ways that Dynamic Data Masking works with different data types.
This article digs deeper into the ways that Dynamic Data Masking works with different data types.
In this article, Joe Celko explains interpolation and covers a bit about the history and what we all did before computers.
Using metadata to drive software is very useful, which means that having clean data and lots of metadata can help create better software.
You need a fast, general-purpose way to save the results of a query or batch or procedure into any sort of worktable, such as a temporary table or a table variable or table valued parameter. A simple SELECT…INTO isn't versatile enough for these requirements, and the alternative ways to handcraft the list of columns are slow and error prone. Phil Factor shows how to create a 'table-build generator' that will do all this, and save you a lot of time, especially if you use a lot of working tables in your code.
Learn how to manage and troubleshoot Kerberos authentication for SQL Server using the Kerberos Configuration Manager.
One of the interesting things about modern software is how updates are handled.
A short look at temporal tables and how to deal with the system generated historical tables.
Learn how to configure and use SQL Server Management Studio to do run the same query against many different SQL Servers and consolidate the results.
In this brand new course on the Redgate University Grant Fritchey walks you through the many ways in which SQL Prompt can be customized to suit your specific needs.
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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