Visual Modelling of Data Warehousing Flows with UML Profiles

Transcription

1 DaWaK 09 Visual Modelling of Data Warehousing Flows with UML Profiles Jesús Pardillo 1, Matteo Golfarelli 2, Stefano Rizzi 2, Juan Trujillo 1 1 University of Alicante, Spain 2 University of Bologna, Italy

2 Introduction Data warehousing data transformations Complexity Model-driven development Visualisation Perception & cognition

3 Outline UML-based Visual Language for F w Formalisation UML Mapping Diagrams data cubes + data flows

4 Definition Let C be the set of all data cubes, and X be the set of the data types that are not data cubes, A data-warehousing flow is a function f w : {C,X} {C,X} F w is the set of all f w s

5 F w Characterisation Subject Class Definition OLAP F c C C ETL F +c X C Mining F -c C X Object F X X

6 F w Characterisation The archetypical data warehousing f w F w holds where f w = k j -c i c h +c g k, g F h +c, i c, j -c F +c, F c, F -c

7 Visualisation Requirements (i) supported by multidimensional diagrams (ii) understandable (iii) formal (iv) standard

8 Concerns (i) Data Multidimensional UML Class Diagrams (ii) Data-warehousing UML Activity Diagrams

9 product date branch code customer product code descr sales quantity amount day code location month name number year number age range customer nid fullname store code street city name country name code Multidimensional Diagram

10 product date branch code customer product code descr sales quantity amount day code location month year name number number age range customer nid fullname store code street city name country name code cd food profitability branch product code {code = food} sales quantity day store month name city name Data Cube Diagram

11 «reference» «profile» Dat «import» «profile» DataWarehouse «reference» UML «stereotype» Cell «use» 1 «stereotype» Fact «stereotype» Dimension 1 «metaclass» Class «stereotype» CubeElement cube: String [*] «stereotype» Axis «use» 2 3 «stereotype» Base «stereotype» RollUp 2 «metaclass» Association «stereotype» CellMember «stereotype» AxisMember «stereotype» Slice «use» «use» 4 «stereotype» Measure «stereotype» Descriptor M D 3 4 «metaclass» Property «metaclass» Constraint UML Profile for Data Cubes

12 Specification Levels Space Membership <fact> <base> <measure> <descriptor> Space Interpretation: (a) all measures & descriptors retrieved (b) measures & descriptors unknown

13 Diagramming Data Cubes 1. Copy the multidimensional diagram 2. Rename it as a data cube diagram 3. Specify data CubeElement s 1. Stereotype multidimensional elements 2.Tag them with the current cube 4. Hide undesired multidimensional elements

14 F w Visual Library A UML Profile for F w Library naming patterns iconography A F w Library Catalogues: ETL, OLAP, Mining, What-if, OLAM, etc.

15 OLAP (from DataWarehousingFlows) slice by <criterion> thecube [sliced] roll up <dimension> [to base>] [rolled up] md-project <measure>+ [projected] dice by <criterion>+ thecube [diced] drill down <dimension> [to <base>] [drill down] drill anyway <dimension>+ [decorated] push <dimension> pull <measure> [pushed] [pulled] control query for <cube> drill across <fact> for <measure>+ thecube [queried] thecube [drilled across] <set-op> othercube thecube [ <set-op> othercube] where set-op! {union, intersection, difference} F c Catalogue

16 Prototype

17 Prototype

18 Prototype

19 Prototype

20 Prototype

21 Prototype

22 Prototype

23 Prototype

24 Conclusion Wide range of visualisation techniques for F w Heterogeneous diagrams Isolated frameworks Challenges Handle data cubes (complex types) Unify modelling requirements Drive perception & cognition Contribution Characterisation of F w UML Diagrams for F w + C Prototype on the Eclipse platform

25 Open Questions Systematic Review of Literature Study of the Cognitive Aids Theoretical foundation Empirical validation Make Diagrams Executable

26 DaWaK 09 Visual Modelling of Data Warehousing Flows with UML Profiles Jesús Pardillo 1, Matteo Golfarelli 2, Stefano Rizzi 2, Juan Trujillo 1 Thank you very much for your attention! 1 University of Alicante, Spain 2 University of Bologna, Italy