The SQL Server provides much functionality that increases the scalability and flexibility of your solution by distributing data and jobs among low-priced commodity servers.
This dense hour of presentation will cover design techniques to leverage cube features that also consider possible maintenance of the database structure over time.
This session will show how to use DMVs (data management views) to query the OLAP cube structure, and then use SSRS to create a set of interactive reports including the BUS matrix, and using spatial data to generate automated star schemas.
Introduce the features of BISM (BI Semantic Model), the new engine that will be available in Analysis Services "Denali".
This session will present the tools and techniques used to create OLAP cubes and supporting data marts on-the-fly from a mere set of data files and configuration metadata.
Learn how to leverage the data model to create flexible behaviour in a cube without the overhead of calculated members
This session will introduce the concept of scoped assignments in MDX and show how they can be used to solve various calculation problems.