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Use of Operational Meta Data in the Data Warehouse

by Mike Jennings   (Continued from Page 1)


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Operational Meta Data

Even with a standardized meta data repository, a data warehouse architect can still add a further level of detail into their warehouse data model and ETL process designs through the incorporation of operational meta data. This technique can be used as an extension of the design and architecture of the data warehouse that provides processing optimizations in data acquisition design, maintenance activities and end user reconciliation and auditing of information.

Operational meta data provides an additional bridge between the meta data repository and the data warehouse through the addition of physical columns into the design for ease of use by both business and technical users.

  • Operational meta data, unlike information stored in the meta data repository, is referenced at a row level of granularity in the data warehouse.
  • Operational meta data provides a detailed row level explanation of actual information content in the data warehouse.

This direct association to each row of information in the warehouse is operational meta data’s key design distinction.

Incorporation of Operational Meta Data

There are varieties of operational meta data columns that can utilized in the design of the data warehouse to enhance automated support. Depending on the business requirements of the warehouse project, inclusion of certain columns may make more or less sense to use. Incorporation of these fields would normally occur during the transformation of the business logical data model into the dimensional or data warehouse data model. Some of the more prevalent columns used are listed below.
  • Load Cycle Identifier
  • Current Flag Indicator
  • Load Date
  • Update Date
  • Operational System(s) Identifier
  • Active in Operational System Flag
  • Confidence Level Indicator


  




  

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