Service-Component Architectures
Service-Component Architectures (SCA) provide a programming model for implementing Service-Oriented Architectures (SOA)
Multi-Select Parameters for Reporting Services
Reporting Services is a very handy way to get your SQL Server 2005 data out to end users quickly. It is included with your license and provides a great development environment for reports. New author Adriaan Davel brings us a quick technique for ensuring that multi-select parameters are handled correctly.
The Reporting Services Cribsheet
If you are forced to nod wisely and keep silent when Reporting Services is mentioned, now is the time to turn ignorance into wisdom, with the help of yet another Simple Talk Cribsheet!
Scale-Out Querying with Analysis Services
This white paper describes how to set up a load-balanced scalable querying environment for Microsoft SQL Server 2005 Analysis Services so that you can handle a large number of concurrent queries to your Analysis Services servers.
What Query Plans are in SQL Server's Memory?
SQL Server memory is primarily used to store data (buffer) and query plans (procedure cache). In this article I'll show how much memory is allocated to the procedure cache (RAM). I'll explain how to determine what plans are in the cache and how often they're used.
Table Partitioning
One of the techniques that you can use for increasing performance, especially in large SQL Server tables, is partitioning. Andy Warren brings us an overview of what this is and how you can use it in your SQL Server 2005 applications.
.NET 3.5 Language Enhancements
LINQ may be getting the most attention in the forthcoming .NET 3.5, but there are also several new language features that add functionality and make life easier for the programmer.
Data Security: Stop SQL Injection Attacks Before They Stop You
This article discusses: How SQL injection attacks work, Testing for vulnerabilities, Validating user input, Using .NET features to prevent attacks, Importance of handling exceptions
How to Use GROUP BY in SQL Server
Summarizing data in a SELECT statement using a GROUP BY clause is a very common area of difficulty for beginning SQL programmers. In Part I of this two part series, we'll use a simple schema and a typical report request to cover the effect of JOINS on grouping and aggregate calculations, and how to use COUNT(Distinct) to overcome this.
Blogs
Overcoming Challenges: Navigating Common Pitfalls in FinOps Adoption
By HeyMo0sh
Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...
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...
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...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
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