That certainly is a mouthful, but it boils down to author Michael Coles implementation of a sound matching search for SQL Server 2005. Another mouthful, but if you are interested in getting close matches because your clients cannot spell, you might want to read this one.
Throughout this and other of my series, we have examined parameterization and parameter picklist support. While my focus has often been support of picklists using datasets generated through MDX queries against the cube under consideration, I have often found myself in client engagement scenarios where differing reporting requirements, as well as various "exceptions," drive a need to extend picklist support beyond the capabilities of the basic MDX queries that we have examined.
Auditing SQL Server, or any system, is not an easy task and with new regulations like Sarbanes-Oxley, it is becoming a full time job in some environments. Chad Miller brings us a way that he developed with Excel and some scripting to automate some of the security information for a large installation of SQL Servers.
When most DW designers begin developing a data warehouse, the Time dimension is the first dimension reviewed with the users. There are usually two or three different persectives on what the Time dimension should represent but, for the most part, it will be used for such calculations as Year-to-date Sales, Monthly Inventory Churn, etc. What most users are actually describing is a Date, or Calendar dimension.
As your SQL Server applications grow, chances are that you have more and more objects, especially stored procedures that you need to keep track of. An organized environment is key to being able to prevent the duplication of code and effort. Joe Sack brings us a look at how he names stored procedures to easy identification.
Debugging is an important process for any level of programming to ensure programs function as expected. Most productive developer environments provide tools and utilities to assist with the debugging process. Visual Studio.NET 2005 is equipped with a number of debugger visualizers, but users can also create their own based on an individual project.
Do you know the difference between a login and a user? What's the best way to add them; Enterprise Manager, T-SQL, or SQL-DMO? In this beginner level article Andy demonstrates how to use all three methods to add logins and users and offers his view of which is the best technique.
This tip continues the system stored procedure series with a routine to find occurrences of a string in the character columns of selected tables.
SQL Server has the best client tools for a DBA of any RDBMS and SQL Server 2000 includes Query Analyzer, an amazing tool. There are a few places where this tool could use some improvement and Yakov Shlafman brings us a few ways that you make your work with Query Analyzer even smoother.
The second installment of this series discussed the cost of maintaining systems with various levels of downtime, ways data can be lost, and what constitutes a backup. In this installment, I discuss how to configure your hardware to minimize the need to restore a backup.
By HeyMo0sh
Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...
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By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Comments posted to this topic are about the item The day-to-day pressures of a...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
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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