Should We Move to Azure?
This week Steve Jones asks about moving to the cloud and how interesting that might be to the community?
SQL Server R Services: Working with Data Frames
Although you can get started with R in SQL Server without understanding data frames, they are a key structure of the R language that are the equivalent of SQL Server table variables. They give you many ways of manipulating and analyzing data and passing it between R and SQL Server. For a database professional, they provide a clear and familiar concept when getting to grips with integrating R into the database.
Protecting SQL Server Data
This book holds the key to "encryption without fear". In it, John Magnabosco sweeps away some of the misconceptions surrounding SQL Server's encryption technologies, and demonstrates that, when properly planned and implemented, they are an essential tool in the DBA's fight to safeguard sensitive data.
Software Patents
Patents are one way that governments can spur innovation. However many people think software patents should be eliminated. Steve Jones doesn't think so, but would like reform.
What are you worth?
When negotiating your salary, it helps to know what the ranges are for your experience and area. Steve Jones gives a little advice today.
Dynamic Data Masking on Azure SQL Database
Azure SQL Database’s Dynamic Data Masking (DDM) feature limits the exposure of sensitive information to non-privileged users. DDM can mask either the full value or partial value in a column. This method can also mask Social Security and Credit Card Numbers without making any changes to the application. Read on to learn more.
Name Value Pairs Table Handling
While Name Value Pairs Tables are anathema to Relational Database professionals, it is sometimes useful to consider such a structure in a production application.
This article illustrates the use of User-defined Table Type to improve such handling.
The Importance of Clear Data Displays
An accident on a ship is being blamed on unclear data visualization.
SQL Code Smells
Some time ago, Phil Factor wrote his booklet 'SQL Code Smells', collecting together a whole range of SQL Coding practices that could be considered to indicate the need for a review of the code. It was published as 119 code smells, even though there were 120 of them at the time. Phil Factor has continued to collect them and the current state of the art is reflected in this article. There are now around 150 of these smells and SQL Code Guard is committed to cover as many as possible of them.
Blogs
ISACA AI Material/Exam Prep Discount (May 18 – June 30, 2026)
By Brian Kelley
If you are considering any of the ISACA AI certs like the Advanced Artificial...
A Fabric solution can be very cost effective
By ChrisJenkins
Are you currently using Microsoft Fabric or considering migrating to it? If so, there...
Track SQL Server Configuration Changes Using the Error Log
By SQLPals
Track SQL Server Configuration Changes Using the Error Log If you...
Forums
We Are Eating Our Own Seed Corn
Comments posted to this topic are about the item We Are Eating Our Own...
Before Using AI with Business Data, Read This
Artificial intelligence tools are quickly becoming part of daily business operations, from document analysis...
Designing SQL Server ETL Pipelines That Don't Break at Scale
Comments posted to this topic are about the item Designing SQL Server ETL Pipelines...
Question of the Day
Detecting Deadlocks Quickly
In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?
See possible answers