![]() ![]() But the maintenance is the hard part - making sure it's up to date with the source can be a laborious task. Those are generic tools for creating and collaborating on documents that most people are familiar with.Ĭreating a data dictionary can be as easy as extracting a list of columns from a database using a query and pasting the results into a spreadsheet for people to fill in the details. I think the most obvious tool, perhaps good for a proof of concept, is a spreadsheet software or word processor (preferably the former). In this article, I will present you with different types of tools that you can use to build and share such an inventory. A data dictionary is a definition of tables/files and columns/fields in a data set (database, data warehouse or data lake). ![]() Now, when accessing company data held in databases is becoming critical, organizations are looking for tools that will allow them to build and share data dictionary of their data sources.
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