vs. OLAP Star Scheme Sales campaigns Sales organization Time Sales, profit, costs, key numbers, etc. Geography heirarchy Products Other dimension Snowflake Scheme Sales campaigns Sales organization Time Sales organization Time Sales, profit, costs, key numbers, etc. Products Geography heirarchy Geography heirarchy Products Other dimension Other dimension Other dimension Data Warehouse Sales campaigns Sales organization Time Sales organization Time Sales, profit, costs, key numbers, etc. Products Geography heirarchy Geography heirarchy Products Other dimension Other dimension Other dimension Relational OLAP User Interface SQL queries are generated graphically. Flexible, but neither fast nor user-friendly. Data Warehouse Multidimensional OLAP User Interface Every click is a query. Fast, but not flexible. Limited number of dimensions. Hyper Cube Build the cube. Lots of Data. Slow. Everything must be predefined. Data Warehouse Hybrid OLAP User Interface Every click is a query. Fast, but not flexible. Limited number of dimensions. Hyper Cube Drill-through when needed. Slow, and not user-friendly. Data Warehouse User Interface QlikView file Data Warehouse User Interface Relational database inside QlikView document. QlikView file Data Warehouse is not required. Any data source will do. Data Warehouse User Interface QlikView file Load the data… then work off-line! Data Source User Interface QlikView file User Interface Every click is a query. Extremely fast, and very flexible. Click ! The selection propagates through the relational database. The technology used is called AQL. AQL™ The patented AQL technology performs its associations when a QlikView user makes a query through the pointand-click interface. As a value or several values (in a dimension) are selected, QlikView makes a split second association showing only values (in other dimensions and measures) associated with the current selection. Simultaneously, graphs and tables (holding one or several general expressions), are calculated to show the result of the current selection. User Interface Any number of Virtual hypercubes (Pivot tables, Diagrams, Gauges etc.) can be put in the QlikView document. These are calculated on demand, i.e. on every click. Summary • MOLAP – Limited number of dimensions – Not Flexible • ROLAP – Not User-friendly • HOLAP – A poor combination of the two above methods Summary • Data warehouse not necessary • Unlimited number of dimensions • Possibility for several hypercubes talking to each other • Flexible • User-Friendly