A Review of sqlSentry 2.5
In this review, Brian reviews one of his favorite tools in his DBA toolkit. He shows you some of the new features in this event management system and how it can shave hours off your day each day.
SQL Server Integration Services - Debugging Script Componen
Continuing the coverage of debugging features in SQL Server 2005 Integration Services Data Flow, which we started in the previous installment of this series, we will now focus on the Script Component.
Introduction to SQLCMD
SQL Server 2005 has deprecated osql and isql as command line tools and replaced them with SQLCMD. Haidong Ji brings us an introduction to this new tool and a few tricks to make you more productive when using it.
New 64-bit sqlSentry Enhances Performance and Scalability
sqlSentry, a leading developer of management solutions for Microsoft SQL Server, today announced that it has released the 64-bit version of its industry-leading scheduling and notification management system for SQL Server 2005, supporting both x64 and Itanium-based systems.
SED and the Big Bad UNIX File
One would think that when you have to work with Unix text files, they would be the same as Windows text files. That is not quite the case and Peter Ward brings us a look at how this caused a problem in DTS and a way you can fix it.
A surrogate key architecture to perform powerful database operations
The alternative to surrogate keys is natural data keys. In order to understand the many substantial benefits of surrogate keys it's necessary to discuss some background on the issues involved.
Usage-Based Optimization in Analysis Services 2005
In this lesson, we revisit usage-based optimization, a subject that we undertook in my article MSAS Administration and Optimization: Simple Cube Usage Analysis, in September of 2003, and MSAS Administration and Optimization: Toward More Sophisticated Analysis in October of 2003. In the earlier articles, we discovered that, among several tools that Microsoft SQL Server 2000 Analysis Services offered us to assist in the maintenance and optimization of our cubes, two of these tools, the Usage Analysis Wizard and the Usage-Based Optimization Wizard, leveraged the usage-based optimization features of Analysis Services.
PART 8: ESTIMATION
Data modeling is no doubt one of the most important and challenging aspects of developing, maintaining, augmenting and integrating typical enterprise systems. More than 90% of functionality of enterprise systems is centered round creating, manipulating and querying data. It therefore stands to reason that individuals managing enterprise projects should leverage on data modeling to execute their projects successfully and deliver not only capable and cost effective but also maintainable and extendable systems
SQL Writer in SQL Server 2005
Definitely written for backup ISVs, but this is an interesting architectural article as to how the backup systems will work in SQL Server 2005.
Outer Join Trouble
Writing outer joins can be more difficult than it appears at first glance. Steve Jones examines this less often used query technique and brings to light a few places where you can lose data.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.[key]
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers