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Data Warehouses Incremental Integration of The Hetero-Homogeneous Approach Christoph Schütz, Michael Schrefl Bernd Neumayr, Daniel Sierninger.

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Presentation on theme: "Data Warehouses Incremental Integration of The Hetero-Homogeneous Approach Christoph Schütz, Michael Schrefl Bernd Neumayr, Daniel Sierninger."— Presentation transcript:

1 Data Warehouses Incremental Integration of The Hetero-Homogeneous Approach Christoph Schütz, Michael Schrefl Bernd Neumayr, Daniel Sierninger

2 2JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Overview ■Motivation ■Hetero-Homogeneous Data Warehouses □Modeling Hetero-Homogeneous Dimensions □Modeling Hetero-Homogeneous Cubes ■Incremental Integration □Integrating Hetero-Homogeneous Dimensions □Integrating Hetero-Homogeneous Cubes ■Prototype

3 3JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering MOTIVATION Heterogeneities in Conceptual Modeling

4 4JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering listPrice = 80 color = 'Red' length = 50 Heterogeneities in Object-oriented Design ProductModel listPrice author color length DaVinciCode : ProductModel listPrice = 10 author = 'Brown' color = NULL length = NULL HonoluluSkirt: ProductModel listPrice = 80 author = NULL color = 'Red' length = 50 ProductModel listPrice BookTitle author ClothingModel color length listPrice = 10 author = 'Brown‘

5 5JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Heterogeneities in Data Warehouse Modeling Heterogeneous Homogeneous

6 6JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Hetero-Homogeneous Dimensions

7 7JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering HETERO-HOMOGENEOUS DATA WAREHOUSES Modeling Hetero-Homogeneous Dimensions and Cubes

8 8JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Modeling Hetero-Homogeneous Dimensions Multilevel Object (M-Object)

9 9JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Modeling Hetero-Homogeneous Cubes Multilevel Relationship (M-Relationship) Multilevel Fact (M-Fact)

10 10JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering INCREMENTAL INTEGRATION Integrating Hetero-Homogeneous Dimensions and Cubes

11 11JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Integrating Hetero-Homogeneous Dimensions

12 12JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering ■Generalization Guideline: If two m-objects share a level or attribute then they must have a common ancestor which introduces the respective level or attribute. ■Mapping Rules: Explicit mapping rules are employed to bridge name differences and assert semantic equivalence (or difference) Integrating Hetero-Homogeneous Dimensions

13 13JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Integrating Hetero-Homogeneous Dimensions Abstract Superclass Rule

14 14JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Integrating Hetero-Homogeneous Cubes

15 15JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Integrating Hetero-Homogeneous Cubes Set-Valued Coordinates

16 16JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Prototype ■Oracle 11g and PL/SQL ■Provides management and query functionality for m-objects and m-relationships ■The conceptual model is stored using Oracle‘s object-relational capabilities. ■The logical model is a variant of the fact constellation schema. ■Proof-of-concept ■Some features still under development

17 17JKU Linz  Institut für Wirtschaftsinformatik – Data & Knowledge Engineering Bibliography ■[hh-dw] Hetero-Homogeneous Data Warehouses (HH-DW). Project Homepage. ■[NST10] Neumayr, B., Schrefl, M., Thalheim, B.: Hetero- Homogeneous Hierarchies in Data Warehouses. APCCM ’10. ■[Sch10] Schütz, C.: Extending data warehouses with hetero- homogeneous dimension hierarchies and cubes: A proof-of- concept prototype in Oracle. Master‘s Thesis ■[Sie11] Sierninger, D.: Integration von Data Marts in ein globales Data Warehouse mit hetero-homogenem Schema. Master‘s Thesis


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