In this article, I will introduce a significant improvement that underlies the new Analysis Services development approach, the Data Source View. A Data Source View is a design-time object that makes its home in the workbench environment of the Business Intelligence Development Studio.
2005-10-20
2,655 reads
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.
2005-10-05
2,506 reads
n this lesson, we will examine another function / property in the MDX toolset, the .UniqueName function. The general purpose of the .UniqueName function is to return the Unique Name of the object to which it is appended. .UniqueName can be used in conjunction with hierarchies, dimensions, levels, and members, in a manner similar to the .Name function that we examined in String Functions: The .Name Function, and, also like .Name, .UniqueName can be useful in a host of different applications.
2005-09-19
1,744 reads
Discover the new Analysis Services 2005 drillthrough architecture. See how to set up drillthrough in Analysis Services 2005 and get guidance on migrating drillthrough settings from Analysis Services 2000 databases.
2005-08-16
1,966 reads
AMO lets developers put their own programs into action. It facilitates client-side custom programming as Decision Support Objects (DSO), the object model in SQL Server 2000 Analysis Services. With AMO, a whole range of data mining questions can be answered at the operational level. This means that sales and marketing departments get answers more quickly and thus can make informed decisions. Specialized resources, like the IT team and analysts, can be brought in when they're needed most.
2005-07-20
1,860 reads
See an example of using the Many-to-Many dimension in SQL Server 2005 Analysis Services to analyze sales data, and get ideas for other uses such as treating medical conditions, software testing, and more.
2005-06-28
2,289 reads
In this article, we will examine a subject that is near and dear to broadly focused report authors - the use of cube structure to create desired cosmetic effects - in the Cube Browser, and more importantly, in a reporting environment. I constantly get e-mails, and see questions in forums and elsewhere, asking how to achieve effects that are not apparently "available" in "intuitive" cube structures, such as any of those that we see in the sample cubes. One of the apparent "shortfalls" that frustrate users is their inability to display the same dimension on both the "x-" and "y-" axes for presentation purposes.
2005-04-29
2,701 reads
Good article, but I'd have to disagree with the following:"Non-Clustered indexes are better for singleton and individual row lookups. "Non-Clustered indexes really aren't any "better", they costs virtually the same (an index seek vs and clustered index seek) during selects. And when ordering is necessary they can drastically improve performance.One of the subtle things about SQL […]
2005-03-16
Aggregation, which is commonly used to deliver reports to users, often also delivers poor performance. To help guarantee that you're delivering the best performance possible, you should explore different versions of the query and pick the best one. This month, look over Tom Moreau's shoulder as he shows you how to work with multiple-child aggregations.
2005-03-14
2,413 reads
In this article, we will return to a function we introduced in an earlier article, CROSSJOIN(), whose mission it is to combine two sets of dimension members into one. We will discuss how CROSSJOIN() works in general, and then discuss how its performance can become an issue in medium to large-sized data sets. We will then undertake a multiple-step practice example intended to assist us in gaining an understanding of the issues, before exposing approaches to minimizing the performance overhead that we can encounter in using CROSSJOIN() to reach our reporting and analysis needs.
2005-02-17
2,074 reads
By Steve Jones
Thanks to everyone that came to my talks. Slides are below. Best Practices for...
By Steve Jones
I can’t remember how I heard about Small Data SF 2024, but it caught...
By Steve Jones
moledro – n. a feeling of resonant connection with an author or artist you’ll...
Comments posted to this topic are about the item 7 sept, scheduled book
Comments posted to this topic are about the item 7 sept, schedlued article
Comments posted to this topic are about the item 6 sept, published book
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