Create a data dictionary report with R and pointblank. To document a data set with pointblank in R, you start by creating a pointblank informant object with the create_informant() function.. Let ...

The data dictionary may be a stand-alone system or an integral part of the DBMS. Data integrity and accuracy is better ensured in the latter case. See DBMS and data administration.

The data dictionary is essential for keeping track of how data from different sources is related, edge cases discovered during data projects, and new fields or required data transformations. Create a ...

A data dictionary is like a bill of materials for a database; it lists all database components, including reports, tables, field names and field types. Such information helps audit databases for ...

A data dictionary is divided logically into areas. The information is organized into entity types, which correspond to the main data processing components, such as elements, records, files, programs, ...

If you Google the term data dictionary, you will get 100 or more results of definitions that generally mean the same thing. A "data dictionary" is data about data. It is what defines the items in ...

Step Two: Refining Standard Data Dictionary. To stay on the same page, all of your company’s employees, not only data specialists and executives, need a unified glossary and well-thought ...

Each of the above queries of Oracle Data Dictionary metadata views can be easily executed as shown. However, they can often be joined together for even more useful details.

Designed for higher education, Data Cookbook software is this enterprise source for Purdue. It allows the institution to discuss, agree upon, document and share definitions and report specs. Having a ...