Prevent Confidential Data at the Application Layer from getting into SQL Server
In this tip Tim Smith looks at different approaches to stop confidential data from getting into the database.
Hierarchies on Steroids #1: Convert an Adjacency List to Nested Sets
SQL Server MVP Jeff Moden shows us a new very high performance method to convert an "Adjacency List" to “Nested Sets” on a million node hierarchy in less than a minute and 100,000 nodes in just seconds. Not surprisingly, the "steroids" come in a bottle labeled "Tally Table".
No Compelling Reason
Steve Jones wants to know if you have compelling reasons to upgrade or not upgrade this week.
A TDD Journey: 3- Mocks vs. Stubs; Test Frameworks; Assertions; ReSharper Accelerators
Test-Driven Development (TDD) involves the repetition of a very short development cycle that begins with an initially-failing test that defines the required functionality, and ends with producing the minimum amount of code to pass that test, and finally refactoring the new code. Michael Sorens continues his introduction to TDD by implementing the first tests and introducing the topics of Test doubles; Test Runners, Constraints and Assertions.
Data Mining Part 17: Working with Reports
In this chapter, we will learn how to create Data Mining Reports using Reporting Services.
Data Mining Part 17: Working with Reports
In this chapter, we will learn how to create Data Mining Reports using Reporting Services.
The 10 (.5) Commandments for IT Professionals
A list of the commandments, or at least suggestions, that Simon Holzman sees as important for IT professionals.
Azure Virtual Machines Part 0: A VM Primer
Mike Martin kicks off his series on Azure Virtual Machines with a primer, full of background and terms. To fully understand the Azure Virtual Machines offering, Mike explains how everything is connected and co-existing.
A Dearth of Comments
Steve Jones talks about one of the least favorite things for IT people: documentation. How much do you really need to do?
Stairway to DAX and Power BI - Level 7: Function / Iterator Function Pairs: The DAX AVERAGE() and AVERAGEX() Functions
Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson explores the DAX AVERAGE() and AVERAGEX() functions, comparing and contrasting the two. He then provides some hands-on exposure to the use of each, particularly in combination with other DAX functions, in generating arithmetic means within our PowerPivot model designs.
Blogs
Architecting Zero Downtime Deployments–Day of Data Boston
By Steve Jones
Here are the resources for my talk at Day of Data Boston. Slides –...
The Book of Redgate:A Prehistory
By Steve Jones
I’ve covered the values in a number of previous posts on the Book of...
Evidence-bound: what AgentDBA will and won’t link
By Arun Sirpal
When the evidence names the database, it says so. When it doesn’t, it stops....
Forums
Split Large Queries in Athena with a Simple Modulo Trick
Comments posted to this topic are about the item Split Large Queries in Athena...
Finding Trailing Spaces
Comments posted to this topic are about the item Finding Trailing Spaces
Question of the Day
Finding Trailing Spaces
I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:
CustomerID CustomerName PreferredName 1 Steve Steve 2 Andy Andy 3 Brian Brian 4 Allan Allan 5 Devin Devin 6 Steve Steve 7 Sally SallyI want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT
CustomerID,
CustomerName,
PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName); See possible answers