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?
The Mindset of the Enterprise DBA: Harnessing the Power of Automation
After you have done the necessary groundwork of standardising and centralising your database adminstration processes, you are now in a position to implement some effective automation of some of these processes. Which ones do you choose, and how do you set about automating these tasks?
The Ins and outs of In-Memory OLTP
As you may know, SQL Server is a very robust database, but SQL server has its performance bottlenecks. With the introduction of In-Line memory OLTP, there is a chance to get rid of the performance bottlenecks
The Need for Auditing
Is C2 auditing widely used? Should it be more widely used? Steve Jones talks about the subject of auditing in today's editorial.
Comparing SQL Server Datatypes, Size and Performance for Storing Numbers
When more than one numeric SQL Server data type may be suitable for a field in a project, which data type should you choose and what are the implications for SQL Server performance?
Another Way to Look at Trees
An alternative to tree traversal, and ultimately more efficient way to look at organizational structures is presented.
Swallowing the Camel
There is a paradox in the nature of the abstractions that many developers want when dealing with databases. They will strain at the gnat, but swallow a camel (Matthew 23:24). Whereas they will recoil with horror when a DBA suggests that an abstraction layer based on views, functions and procedures in a separate database schema […]
Blogs
Understanding Fabric Ontology
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
QUOTENAME Basics: #SQLNewBlogger
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
When growing companies outgrow Excel
By ChrisJenkins
There are some telltale signs that your growing business has outgrown Excel for your...
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Question of the Day
QUOTENAME Quote Parameters
When I use QUOTENAME(), I can optionally provide the character used to surround the string in the result. Can I use any character?
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