Not only are SQL Monitor Groups probably the neatest and most maintainable way of ensuring that all your SQL Servers have the best possible configuration of alerts, but they represent a powerful way of categorizing your SQL Server estate. In this article, I'll show how to use the SQL Monitor PowerShell API to export these groups, save their settings onto a configuration management system, or compare groups of settings to see the differences between them.
Carlos Robles explains how to use Azure Data Studio Notebooks to create SQL containers with Python.
Phil Factor explains why an ORDER BY clause should always specify the sort columns using their names, or aliases, rather than using an integer to specify the position of a column in the SELECT list.
There are many different ways to present data using Power BI and this tip looks at these different methods such as Power BI Dashboards, Power BI Workbooks and Power BI Reports.
Ever wonder what’s “normal” out there for SQL Server adoption rates, hardware sizes, or numbers of databases? Let’s find out.
New release: SQL Monitor 10
SQL Monitor 10 has landed! You can now integrate SQL Monitor alerts with your ticket management system, so chosen alerts are automatically raised as tickets. New suppression options give you granular control over what alerts are raised during specific times, such as maintenance windows. And, you can now annotate the server activity graph with specific events, so you can measure their impact on your servers.
Discover the new features
Azure Data Studio (ADS) is a cross-platform tool that you can use to run T-SQL queries much as you have done using SQL Server Management Studio. No, the databases do not need to be hosted in Azure; the tool works fine for on-premises SQL Servers as well. I’ve started using ADS more as I teach […]
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...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
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