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Basic DWH design and architecture

We define the basis for your data warehouse using our proven templates:

Stable layered architecture

  • Separation of source data, core DWH with granular data management and reporting layers
  • “Single point of truth” approach

Basic framework concepts

  • Historization: usually three-dimensional
  • Meta data: technical and business meta data
  • Surrogate keys: separation from the operational world
  • Validation: data tested for approved content
  • Harmonization: standardization of keys
  • ETL: specifications for setting up ETL development

Our proven templates and models guarantee stability and sustainability.

Are you looking for further information?

 

Contact:
Dr. Arne Röhl
Actuary (DAV)

If you have any questions about business intelligence and data warehouse, please do not hesitate to contact us.
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