Azure DevOps tasks often contain sensitive credentials and secrets that need to be appropriately secured and in this article I demonstrate how to implement different options.
We’ve just released SQL Monitor 11.0, and for this latest version we partnered with Amazon AWS to let you monitor SQL Severs hosted on Amazon RDS. You can monitor these alongside your on-premises and other cloud-based servers, instances, and databases, giving you visibility in a single pane of glass. Version 11.0 also introduces new advanced tempdb monitoring metrics, and significant performance improvements.
This post will describe how you use a CASE statement in Azure Data Factory (ADF). If you are coming from SSIS background, you know a piece of SQL statement will do the task. However let's see how do it in SSIS and the very same thing can be achieved in ADF. Problem statement For my […]
In this article, Michael Sorens describes the many ways that you can monitor Kubernetes.
Phil Factor's "getting started" guide for turning all your trusted and most frequently used queries into SQL code snippets.
You can enforce the validation of an XML data type, variable or column by associating it with an XML Schema Collection. SQL Server validates a typed XML value against the rules defined in the schema collection so that INSERT or UPDATE operations will succeed only if the value being inserted or updated is valid as per the rules defined in the Schema Collection.
The speed, flexibility and collaboration of DevOps can be difficult to achieve against the rigid schemas, manual processes, and silos in the world of data management. Join Microsoft Data Platform MVP, Grant Fritchey to discover the key strategies you can implement to bridge the divide between data management and DevOps in your organization.
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