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  1. Override the title Chris Harrington chris@activeinterface.com

  2. Session Overview • OLAP Review • MDX Explained • SDK/API Options • Demos

  3. Region W S N Juice Cola Product Milk Cream Toothpaste Soap 1 2 3 4 5 6 7 Month The Multidimensional Data Model “Show me my sales by product by region by time” Dimensions: Product, Region, Time Hierarchical summarization paths Product Region Time Industry Country Year Category Region Quarter Product City Month Week Office Day

  4. Why Use OLAP? • Relational database • Transactional processing • Data Warehouse • Tactical information • “What was the total revenue from soft drinks for Sussex in January?” • “What would be the effect on soft drink costs to distributors if syrup prices went up by 10p/gallon and shipping costs went down by 5p/mile?” • OnLine Analytical Processing (OLAP) • ‘Slice and dice’ for Data Warehouses

  5. Terminology Cube – A multi-dimensional container for information and pre-calculated query results.

  6. Location Products Time Terminology China Peru Japan Italy Members – A discrete name or identifier used to identify a data item's position and description within a dimension. Coffee Apples Tea Onions January February March April

  7. Location Products Time Terminology China Peru Japan Italy Hierarchy – Parent-child relationships within a dimension. A detail member of a dimension is the lowest level number in its hierarchy. Coffee Apples Tea Onions January Week1 Week2 Monday Tuesday Am pm Week3 February March April January February March April

  8. Location Products Time Terminology China Peru Japan Italy Level – Position within a hierarchy. e.g. Jan, Feb are of the level Month within Time Monday, Tuesday would be of the level Day Coffee Apples Tea Onions January Week1 Week2 February Week1 Week2 March April