Making Sense of the Mess: Building & Publishing a Data Dictionary

By: Michael Findling

Abstract: This session describes the process of analyzing existing data structures, of integrating stakeholders in order to agree upon a common set of definitions, and of publishing a data dictionary in an easily accessed, Web format.

Standardizing data across the organization lowers the cost and effort of data integration, reporting, and warehousing tasks and raises the reliability (i.e., the validity of) data sets and report data. But, how do you ensure that in today’s world of fast paced, distributed development, data definitions are consistent, valid, and reliable? The answer lies in creating a data dictionary. In order to be successfully adopted, the data dictionary must not only be complete and specific to the organization, but must be easy to access and search. This session describes the process of analyzing existing data structures, of integrating stakeholders in order to agree upon a common set of definitions, and of publishing a data dictionary in an easily accessed, Web format.

With Solomon Waters of Embarcadero Technologies 

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