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Metadata Framework for a Statistical Data Warehouse

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Metadata Framework for a Statistical Data Warehouse. Lars-Göran Lundell Statistics Sweden Cardiff 24 May 2012. Metadata and Data Warehouse. Metadata is the DNA of the data warehouse , defining its elements and how they work together. - Ralph Kimball - PowerPoint PPT Presentation
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Metadata Framework for a Statistical Data Warehouse Lars-Göran Lundell Statistics Sweden Cardiff 24 May 2012
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Page 1: Metadata Framework for a Statistical Data Warehouse

Metadata Framework for a Statistical Data

Warehouse

Lars-Göran Lundell

Statistics Sweden

Cardiff 24 May 2012

Page 2: Metadata Framework for a Statistical Data Warehouse

Metadata and Data Warehouse

• Metadata is the DNA of the data warehouse, defining its elements and how they work together.

- Ralph Kimball

• Metadata plays a very active and important part in the data warehouse environment.

- Bill Inmon

Page 3: Metadata Framework for a Statistical Data Warehouse

Last workshop …

• General metadata definitions• Metadata for a Statistical Data Warehouse• Metadata standards• Metadata quality

• What’s next?• More detailed descriptions• Standards• Collection and usage• Storage• More

Page 4: Metadata Framework for a Statistical Data Warehouse

Metadata Framework for SDWH

• Overview and Conceptual Model• Terms, definitions and relations

• Basis for discussions• Priorities, relations

• Basis for more detailed work• Roadmap

• First version “ready”• Final version July 2013

Page 5: Metadata Framework for a Statistical Data Warehouse

Metadata categories

Active

Passive

ReferenceStructural

FormalisedFree-form

Page 6: Metadata Framework for a Statistical Data Warehouse

SDWH metadata requirements

• Active metadata• Assistance to end-users • Enables a metadata

driven architecture

 

• Formalised metadata• Must be easy to find,

compare and evaluate

• Structural metadata• Link between metadata

and data

Active

Passive

ReferenceStructural

Formalise

d

Free-form

Page 7: Metadata Framework for a Statistical Data Warehouse

Metadata subsets

SDWHMetadatarequirements

Page 8: Metadata Framework for a Statistical Data Warehouse

Metadata Structures

• Metadata layer – conceptual, all metadata• Metadata registry – logical, standardised storage• Metadata repository – physical storage

Quality

ProcessActive

Passive

ReferenceStructural

Formalised Free-form

A metadata item The metadata layerThe data store

Statistical

Page 9: Metadata Framework for a Statistical Data Warehouse

GSBPM, SDWH and Metadata

1SpecifyNeeds

2Design

3Build

4Collect

5Process

6Analyse

7Disseminate

8Archive

9Evaluate

Metadata

SDWH

• The SDWH needs metadata from the “early processes”• Specify needs, Design, Build

• “Early processes” need SDWH metadata• E.g., during the Design process

Page 10: Metadata Framework for a Statistical Data Warehouse

Metadata and the Data Warehouse Layers

Source Layer

Integration Layer

Interpretation and Data Analysis Layer

Data Access LayerM

etad

ata

Laye

r

Page 11: Metadata Framework for a Statistical Data Warehouse

Minimum requirements (?)

• Statistical metadata• Variable name, definition, reference time and source • Value domain (classification) mapped to the variable

 

• Process metadata• Load time

 • Technical metadata

• Physical location• Data type

 • Authentication metadata

• Access rights mapped to users and groups

Page 12: Metadata Framework for a Statistical Data Warehouse

Thank you!


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