Technical Article

Loving to Hate the Data Administrator

You can just hear it now: At the table down the hall, there’s a group of people having, (as it seems to you) yet another academic discussion on the merits of third-normal form and the structure of primary keys. You’ve heard many discussions like this before — it all seems so pointless. After all, doesn’t it just boil down to “create table” commands and a bunch of DDL? You mastered all that in your first DBA class. What could be so hard?

SQLServerCentral Article

Simplify the Creation of XML from SQL Server Data

SQL Server 2000 had extensions built in to allow you to work with XML data, however, most installations did not work with it. XML has proven that it is a very powerful way of transmitting and working with data, but creating it from relational data has proven to be difficult. New author Hugh Lynch, CTO of Restricted Stock Systems, Inc. brin gs us a method for easily creating XML from your SQL Servers.

Technical Article

Accurate Numeric Identifiers: Using Verhoeff's Method for Check Digits

Check digits–not to be confused with checksums–are often added to numeric identifiers such as customer and product numbers to reduce the chance of incorrect entries. Sequences of numbers are notoriously easy to mistype, and constraints alone generally won't do the job. In this excellent article, Lynn Fields shows you how to implement the "Cadillac" of check digit methods–the Verhoeff Dihedral Group.

External Article

High Call Volume SQL Server Applications on NUMA Systems

One of the most difficult database operations to scale-up on high-end server systems is the network call. In fact, without special precautions, a high call volume database application can have severe negative scaling on large systems. It is suspected that this problem is more pronounced on NUMA systems than basic SMP systems. A NUMA system with 16 processors can have significantly lower throughput capability than an otherwise comparable 4-way SMP system.

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Question of the Day

Historical Data Tracking

If I want to track historical data values, which mechanism should I use?

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