Q
Problem solve Get help with specific problems with your technologies, process and projects.

Creating an enterprise data dictionary

Anne Thomas Manes discusses the best way to go about creating an enterprise data dictionary and why the systems works well.

How do you go about creating an enterprise data dictionary?

The purpose of an enterprise data dictionary is to capture metadata about the data used within the enterprise. The best place to start is with some type of metadata management system (dictionary, repository, etc) that allows you to capture information about your data. This system should allow you to import metadata from numerous sources, including DBMS system tables, schemas, documents, etc. The system should also give you tools that enable you to analyze and compare the metadata you've captured and to document affinities and semantic relationships.

Be aware -- it's a lot of hard work. These steps are similar to the ones required to define master data or to implement a good data integration strategy.

This was last published in August 2008

Dig Deeper on Service registry and repositories

PRO+

Content

Find more PRO+ content and other member only offers, here.

Have a question for an expert?

Please add a title for your question

Get answers from a TechTarget expert on whatever's puzzling you.

You will be able to add details on the next page.

Start the conversation

Send me notifications when other members comment.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

Please create a username to comment.

-ADS BY GOOGLE

SearchSoftwareQuality

SearchCloudApplications

SearchAWS

TheServerSide.com

SearchWinDevelopment

DevOpsAgenda

Close