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OLAP
Geographyheirarchy
Salescampaigns
Other dimension
Products
Time
Sales, profit,costs, key
numbers, etc.
Salesorganization
Star Scheme
Snowflake Scheme
Geographyheirarchy
Salescampaigns
Other dimension
Products
Time
Sales, profit,costs, key
numbers, etc.
Salesorganization
Products
Time
Other dimension
Other dimension
Geographyheirarchy
Salesorganization
Data Warehouse
Geographyheirarchy
Salescampaigns
Other dimension
Products
Time
Sales, profit,costs, key
numbers, etc.
Salesorganization
Products
Time
Other dimension
Other dimension
Geographyheirarchy
Salesorganization
Relational OLAP
Data Warehouse
SQL queries are generated graphically. Flexible, but neither fast nor user-friendly.
User Interface
Multidimensional OLAP
Data Warehouse
User Interface
Hyper CubeBuild the cube. Lots of Data. Slow. Everything must be predefined.
Every click is a query. Fast, but not flexible. Limited number of dimensions.
Hybrid OLAP
Data Warehouse
User Interface
Hyper Cube
Every click is a query. Fast, but not flexible. Limited number of dimensions.
Drill-through when needed. Slow, and not user-friendly.
Data Warehouse
User Interface
QlikView file
Relational database inside QlikView document.
Data Warehouse
User Interface
QlikView file
Data Warehouse is not required. Any data source will do.
Data Source
User Interface
QlikView file
Load the data… then work off-line!
User Interface
QlikView file
Every click is a query. Extremely fast, and very flexible.
Click !
The selection propagates through the relational database. The technology used is called AQL.
User Interface
AQL™ The patented AQL technology performs its associations when a QlikView user makes a query through the point-and-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.
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.
User Interface
• 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
Summary
![Categories of OLAP - ir.nuk.edu.tw08]CategoriesofOLAP.pdf1 Categories of OLAP Categories of OLAP tools MOLAP, ROLAP, HOLAP, DOLAP OLAP extension to SQL ROLLUP, CUBE, RANK() OVER, Windowing](https://img.pdfslide.net/doc/110x75/5e0b59f2ce10385c4841823b/categories-of-olap-irnukedutw-08-categories-of-olap-categories-of-olap-tools.jpg)
