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Viser innlegg med etiketten Reporting. Vis alle innlegg
Viser innlegg med etiketten Reporting. Vis alle innlegg

mandag 8. oktober 2012

MDX Studion Online

Mosha Pasumansky, father of MDX

Mosha Pasumansky is one of the inventors of the MultiDimensional eXpressions (MDX) language, a query language for online analytical processing (OLAP) databases. Pasumansky is also one of the architects of the Microsoft Analysis Services, and an OLAP expert. Mosha Pasumansky is well known in the OLAP community for his Microsoft OLAP information website which contains a collection of technical articles and other resources related to Microsoft OLAP and Analysis Services. He also has a blog dedicated to MDX and Analysis Services. He spoke at Microsoft conferences such as TechEd and PASS, and he published the book Fast Track to MDX. As of 29 December 2009, Mr. Pasumansky had shifted his focus[1] to Bing, the Microsoft Search Engine, and is no longer maintaining his active stewardship of the BI Community. We are going to miss him and his articles regarding OLAP, MDX and Business Intelligence in general.

Source Wikipedia

This is an online version of the MDX Studio product build by Mosha. The full version can be downloaded from http://www.mosha.com/msolap/mdxstudio.htm
For discussion, bug reports, feature suggestions etc - please visit our blogg here. Here is the link to MDX Studio Online: http://mdx.mosha.com/default.aspx

onsdag 3. oktober 2012

Reporting on data - SSRS

When you have a Data Warehouse, you likely don’t want to look at rows
and rows of data; instead, you want to visualize the data and give it meaning.
Building reports that answer a particular question (or set of questions)
means taking raw data and turning it into information that can be used to
make intelligent business decisions. SQL Server Reporting Services (SSRS), a component of SQL Server — builds reports by doing that bit of magic.
SSRS has features that can make your reports as fancy as you like — gauges,
charts, graphs, aggregates, and many other snazzy ways to visualize the data