Handling Data Integrity Issues in Analysis Services 2005
Learn about common data integrity issues, and see how Analysis Services 2005 gives you the tools to handle them.
Learn about common data integrity issues, and see how Analysis Services 2005 gives you the tools to handle them.
Few would disagree that striving for a loosely coupled design is a bad thing. Unfortunately, the software we typically design is much more tightly coupled than we intend. How can you tell whether your design is tightly coupled?
Reporting Services is one of the most popular features of SQL Server 2005 and there have been a tremendous number of enhancements to this subsystem. New author Bilal Khawaja brings us a look at dynamic connection strings and how you can have one report pulling data from different servers.
SQL Server MVP Paul Ibison takes a look at how transactions are handled in replicated environments and the implications of rollbacks.
Blocking occurs in SQL Server 2005 when one process has one or more records locked, while another process tries to acquire locks on the same set (or subset) of records. This can create a daisy-chain of processes waiting to complete their work.
A look at how you can implement error handling in your stored procedures.
Indexing a SQL Server database in some respects is considered both an art and a science. Since this is the case, what are some considerations when designing indexes for a new database or an existing one in production? Are these the same types of steps or not? Do any best practices really exist when it comes to indexing? Where does indexing fall in the priority list from an application or production support perspective?
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
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