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Building your first AS solution
1.
2.
3. OLAP Services
7.0
• 1998 (Plato)
AS 2000
• 2000 (Shiloh)
AS 2005
• 2005 (Yukon)
AS 2008
• 2008 (Katmai)
AS 2012
• 2012 (Denali)
• Tabular/MD
4.
5. Product
Aggregation of sales
value by product,
customer, and time
• Multidimensional analysis is based on cubes whose core components are
measures and dimensions
• OLAP cubes have aggregations precalculated during processing
This topic should be revision for most students. Use it to ensure that all students have a basic understanding of the star schema design used in dimensional data warehouses.Review the articles referenced in the student notes in case students want to better understand how the star join query optimizations in the SQL Server query optimizer work. However, emphasize that the optimizations are automatic and that students do not need to do anything other than use a star schema for the data warehouse tables to benefit from them.