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
How to Connect to SQL Server When Nothing Else Works – DAC
By gbargsley
It's 2 AM. Your phone is going off. Users can't connect to the application,...
Get a Range of Sequence Values: #SQLNewBlogger
By Steve Jones
I discovered a procedure recently that I wasn’t aware of: sp_sequence_get_range. This post looks...
The Agent Era: When “How do I…?” Replaces “Where do I click?”
By Arun Sirpal
After a year away getting to grips with AI and its application across the...
Forums
Hiring: Financial SQL Systems Administrator
Fisher Phillips is looking for a Financial Systems Administrator to help support and improve our financial...
Job Opening for ERP Systems Administrator - Hybrid
Employee owned company, been around for over 50 years. Hybrid opportunity, looking folks in Pacific...
data compare between 2 tables with same structure for any changes after etl run
i have huge table with lot of data and is also wide. i took...
Question of the Day
Creating a JSON Document II
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers