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Normalization is a database design technique, which is used to design a relational database table up to higher normal form. [9] The process is progressive, and a higher level of database normalization cannot be achieved unless the previous levels have been satisfied. [10]
A common practice is to entitle list articles as List of ___ (for example List of Xs).If (as is often the case), the list has multiple columns and so is in layout table form, the name or title List of Xs is still preferable to Table of Xs or Comparison of Xs (though the latter may be appropriate for articles that are actual tables of data comparing numerous features, e.g. Comparison of Linux ...
Coding conventions allow programmers to have simple scripts or programs whose job is to process source code for some purpose other than compiling it into an executable. It is common practice to count the software size (Source lines of code) to track current project progress or establish a baseline for future project estimates.
In computer programming, a naming convention is a set of rules for choosing the character sequence to be used for identifiers which denote variables, types, functions, and other entities in source code and documentation. Reasons for using a naming convention (as opposed to allowing programmers to choose any character sequence) include the ...
The Leszynski naming convention (or LNC) is a variant of Hungarian notation popularized by consultant Stan Leszynski specifically for use with Microsoft Access development. [1] Although the naming convention is nowadays often used within the Microsoft Access community, and is the standard in Visual Basic programming, it is not widely used ...
Codd's twelve rules [1] are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd, a pioneer of the relational model for databases, designed to define what is required from a database management system in order for it to be considered relational, i.e., a relational database management system (RDBMS).
Set up the table relationships – Look at each table and decide how the data in one table is related to the data in other tables. Add fields to tables or create new tables to clarify the relationships, as necessary. Refine the design – Analyze the design for errors. Create tables and add a few records of sample data.
In metadata, Naming and Design Rules are the formal rules associated with how data elements are structured within a process of creating exchange documents between organizations. Naming and Design Rules are a set of guidelines and naming conventions that go beyond what a single data exchange standard specification will permit.