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 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 ...

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 ...

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.

Public-Release Research Dataset is the largest of its kind, featuring over 60 million EMS activations nationwide ...

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 ...

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 ...

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, ...

Fact Book Data Dictionary. Includes the core data definitions in the current Fact Books, and their valid values, calculated rules, and special usage notes. Access The fact book data dictionary.