Data dictionary and Database normalization

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Data dictionary and Database normalization

Data dictionary vs. Database normalization

A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format". Database normalization is the process of restructuring a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity.

Similarities between Data dictionary and Database normalization

Data dictionary and Database normalization have 1 thing in common (in Unionpedia): Column (database).

Column (database)

In a relational database, a column is a set of data values of a particular simple type, one value for each row of the database.

Column (database) and Data dictionary · Column (database) and Database normalization · See more »

The list above answers the following questions

What Data dictionary and Database normalization have in common
What are the similarities between Data dictionary and Database normalization

Data dictionary and Database normalization Comparison

Data dictionary has 44 relations, while Database normalization has 31. As they have in common 1, the Jaccard index is 1.33% = 1 / (44 + 31).

References

This article shows the relationship between Data dictionary and Database normalization. To access each article from which the information was extracted, please visit:

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