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1 Anwendungssoftwares a Data-Warehouse-, Data-Mining- and OLAP-Technologies Online Analytic Processing

2 Online Analytic Processing OLAP Online Analytic Processing Technologies and tools that support (ad-hoc) analysis of multidimensionally aggregated data Individual analysis is supported, i.e., the user is not restricted to available standard reports/analysis Graphical user interface is available for analysis specification Knowledge of a query language or programming language is not required Result information is given graphically and made available for incorporation into other applications Users: Analysts, Manager, knowledge worker Typical Analysis scenarios: Multi-dimensional views, e.g. turnover per product and Comparisons, e.g. turnover in Q4 compared to that of Q3 Ranking, e.g. top 10 product in a certain ranked by turnover 2

3 Online Analytic Processing OLAP predefined reports define individual analysis 3

4 area Cons Electr. Online Analytic Processing Multidimensional Model Multidimensional Model Cube Metaphor Fact Data (sales) 4

5 area Cons Electr. area Cons Electr. Online Analytic Processing Slice and Dice Slice: restrict one dimension to a range of values Dice: restrict several dimensions to a range of values results in a sub-cube Example: Analysis of a certain product. 5

6 area Cons Electr. area Cons Electr. Online Analytic Processing Roll-up and Drill-down roll-up drill-down Roll-up (drill-up): summarize data by climbing up hierarchy or by dimension reduction Drill-down (roll-down): reverse of roll-up from higher level summary to lower level summary or detailed data, or introducing new dimensions 6

7 area Cons Electr. Online Analytic Processing Pivot and Rotate Pivot: reorient the cube visualization 3D to series of 2D planes Cons Electr. area 7

8 Online Analytic Processing OLAP Operations: Overview Typical OLAP operations (explained in a general manner): Roll up (drill-up): summarize data - by climbing up hierarchy or by dimension reduction Drill down (roll down): reverse of roll-up - from higher level summary to lower level summary or detailed data, or introducing new dimensions Slice and dice: - project and select Pivot (rotate): - reorient the cube, visualization, 3D to series of 2D planes. Other operations - drill across: involving (across) more than one fact table - drill through: through the bottom level of the cube to its back-end relational tables (using SQL) 8

9 Online Analytic Processing Overview Vendor Microsoft Hyperion Solutions Cognos Business Objects MicroStrategy SAP Oracle Cartesis Applix SQL Server 2000 Analysis Services Hyperion Essbase, Brio Enterprise Impromptu, PowerPlay BusinessObjects and Webintelligence MicroStrategy7i SAP Business Information Warehouse Oracle9i OLAP Magnitude Applix itm1 Market Coverage in 24,4% 23,3% 14,7% 7,4% 5,4% 5,2% 4,7% 2,6% 2,6% ( 9

10 Online Analytic Processing Summary OLAP: Technologies and tools that support (ad-hoc) analysis of multi-dimensionally aggregated data Basic Operations: Slice and Dice, Roll-up and Drill-down, Pivot Main characteristics of OLAP: Fast, Analysis, Shared, Multidimensional, Information Storage options: relational database system multidimensional db (n-dimensional arrays, m-dim. query language) Architectural options: ROLAP, MOLAP, HOLAP 10

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