Technical Article

Middle Tier Application Data Caching with SQL Server 2000

Middle tier applications often use a single database management system (DBMS) to store data, which can expose scaling limitations as the number of user requests increases. Caching, a technique used to increase application performance by copying data and then using the copied data in place of the original data, can dramatically increase the throughput (the number of application requests serviceable per unit time) and scalability of middle tier applications.

Blogs

AI: Blog a Day – Day 6: Embeddings – How AI Understands

By

Continuing from Day 5 where we covered notebooks, HuggingFace and fine tuning AI now...

The Book of Redgate: Mistakes

By

This is kind of a funny page to look at. The next page has...

ADF Pipeline Debugging Fails with BadRequest – The Sequel

By

A while ago I blogged about a use case where a pipeline fails during...

Read the latest Blogs

Forums

Why End-User Testing Is Even More Important with AI

By dbakevlar

Comments posted to this topic are about the item Why End-User Testing Is Even...

Dynamic Unpivot

By pietlinden

I have a table I didn't design that has tons of repeating groups in...

Writing as an Art and a Job

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Writing as an Art and...

Visit the forum

Question of the Day

String Similarity II

What is the range for the result from the EDIT_DISTANCE_SIMILARITY() function in SQL Server 2025?

See possible answers