SQL Server Scalabilty - An Introduction
A brief introduction into the world of scalability, presenting at a high-level the various options
A brief introduction into the world of scalability, presenting at a high-level the various options
Continuing on with his series, Jacob Sebastian shows how you can shape the query results to a certain pre-defined XML structure in this article.
CStechcast.com brings another podcast episode to the starting line with guest Kalen Delaney. This SQL Server expert and authoritative author of the Inside SQL Server series gives us her take on SQL Server 2008. Find the latest from Kalen Delaney at insidesqlserver.com and SQLCommunity.com.
Are you frustrated by the inefficiency, rigidity and latency of a first-generation, hub-and-spoke-architecture data warehouse? Here's a six-step guide to evolving to a streamlined, robust Kimball Dimensional Bus Architecture that will reduce time to reporting, lower data latency, and deliver more detailed, analytically useful information.
If you are near Salt Lake City on April 26th, join in the local Code Camp there.
They are new to SQL Server in 2005, but they are not necessarily in common use for many people. New author Kirk Kuykendall brings us a basic look on what a CTE is and how you can use it.
DBAs have always been warned against using system tables in their code, but often there has been no other way to get information about the server. In SQL Server 2004, Dynamic Management Views have been provided that give you insight into almost every aspect of SQL Server. S. Srivathsani brings us a look at some of the DMVs and functions you can use.
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
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In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers