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Duurzaambouwen van een  Data WarehouseRien Matthijsse
Introduction Rien Matthijsse 1st computer:		1976 ICT:        		1985 ICT freelancer: 	1998 TGF’er: 	  	2009
Sustainable
Message Intentionally left empty
DWH Business Intelligence Means to a Goal Data warehouse ETL RDBMS Hardware
Technology Intake
Business Delivery
Technology Systems Data Extraction
Technology ETL
Technology Historic Storage
Business Business Objects Model
Business Business Logic
Business Star Models
Business Presentation
How ends meet
How ends meet Methodologies & Standards
Standards Architecture
Architecture Oracle Reference Architecture
Architecture Integration History storage Presentation D W H TRANSFORM S T A G E
Standards Data model modeling
 Methodology Transform Extract Load
 Methodology Management & Control
Methodology Data Quality Control
Methodology Data Cleansing
Methodology Deployment
Building a DWH Creative Hand(y) work
English please! -
DWH is changing
DWH is changing We’ve got it
Data Vault
Data Vault benefits Extendable F   l e x i b  l e Uniform Simplicity
Data Vault Generator for Data model         & Loading code
DV generator toolset
Data Vault
Generatable ETL Transform Extract Load
Coding tradeoff
Sustainable DWH architecture Integration History Presentation Business logic b u s i n e s s D W H S T A G E s o u r c e D V TRANSFORM
How about sustainable … Management &Control Data Quality Control Data cleansing Deployment
Conclusion NO YET
Sustainable DWH Data modeling ETL  Architecture
Sustainable DWH Mgmt & Control Data Quality Data cleansing Deployment
Questions or Remarks ?
Bedanktvoor u belangstelling Rien Matthijsse

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Building sustainable Data Warehouses

Editor's Notes

  1. Introducing Rien
  2. Sustainable. W’re not talking green here
  3. I have a message/warning for you
  4. Data warehousing is no goal but a means to information provisioning.These are 2 sides to a DWH
  5. Technology end (intake)
  6. Business end (delivery)
  7. Source system disclosure
  8. Extract Transform Load
  9. Historic storage
  10. BIMDurableHardened against change
  11. Business logica
  12. Star data models with facts and conformed dimensions
  13. Presentation ofinformation
  14. How technology & business meet
  15. Standards
  16. Architecture
  17. Standard 3 layer model
  18. Data modeling standards in different layers
  19. Functional control
  20. Data Quality control: no standards
  21. Data cleansing: no standards
  22. OTAP deployment: no standards
  23. Handcoding
  24. Standaard in datamodellering
  25. Benefits of DV
  26. Generation of a DWH!
  27. Even Open Source
  28. Generate a DWH all the way?
  29. Disadvantage: no tranformsgeneratable
  30. Tradeoff between coding by hand and get it generated
  31. Generate the technology partHandcoding the business part
  32. No heaven on earth: sorry
  33. Thumbs up
  34. Nothing change