The process of structuring the schema of a relational database to eliminate or reduce ambiguity.
The process of refining and re-grouping attributes in entities according to the normal forms, making the meaning of data more explicit.
The elimination of redundant information in a database through the appropriate establishment of record structure. The theoretical basis for a relational database calls for the elimination of various types of information redundancy
(RM) Following a set of rules to insure that a database is well designed. See also normal forms. subkeys.php
The process of removing redundancy by modularizing, as with subroutines, and of removing superfluous differences by reducing them to a common denominator. For example, line endings from different systems are normalized by reducing them to a single NL, and multiple whitespace characters are normalized to one space.
Rules for designing database table so they approach a relational nom (standard). These rules make the tables more efficient, less redundant, and less prone to error and confusion. Normalization is usually a process of breaking up large tables into smaller tables with clear relationships. See also my article on Database Structure.
a process that changes table structures to increase their normal form rating. Higher normal forms are required to minimize data redundancy. This process is most easily accomplished with the help of dependency diagrams.
A process for structuring data to organize it into its most natural, stable, subject-oriented, shareable, and non-redundant form.
The refinement of a database structure to eliminate redundancy and improve organization according to rules based on relational database theory.
Normalization is a formal approach in data modeling to examine and validate attributes with entities in the logical data model. The purpose of data normalization is to ensure that 1- each attribute belongs to the entity to which it has been assigned 2- redundant storage of information is minimized 3- storage anomalies are eliminated. The ultimate goal is to organize data elements in such a way that they are stored in one place and one place only.
Normalization is a set of rules and a methodology for making sure that the attributes in a design are carried in the correct entity to map accurately to reality, eliminate data redundancy and minimize update anomalies.
The process of reducing a complex data structure into its simplest, most stable structure. In general, the process entails the removal of redundant attributes, keys, and relationships from a conceptual data model.
Normalization is the process of moving columns of a data table so that all of the columns that depend on a primary key column are placed in the same table as that primary key. For example, all columns that are wholly dependent on “customer number” primary key in a CUSTOMER table (such as “customer name” and “customer account balance”) are moved into that table with the primary key.
A technique to eliminate data redundancy.
Normalization is a step-by-step process of removing redundancies and dependencies of attributes in a data structure. The condition of the data at completion of each step is described as a "normal form." Thus, when normalizing we talk about data as being in the first normal form, the second normal form, etc. Normalization theory identifies normal forms up to at least the fifth normal form, plus an adjunct form known as Boyce-Codd Normal Form (BCNF). The first three forms are sufficient to meet the needs of warehousing data models.
process of creating sensor interchangeability.
A step-by-step process that produces either entity or table definitions that have: no repeating groups, the same kind of values assigned to attributes or columns, a distinct name, distinct and uniquely identifiable rows.
Arrangement of attributes to tables in a relational design so as to avoid update anomalies. Ensuring that each property is dependent only on the primary keys of its table.
A conceptual database design task that involves applying data dependency to a data model to avoid data inconsistencies by prohibiting redundancy.
In a relational database, process designed to make sure the data within the relations (tables) contains the least amount of duplication. 13.22
A series of steps followed to obtain a database design that allows for efficient access and storage of data. These steps reduce data redundancy and the chances of data becoming inconsistent. First Normal Form eliminates repeating groups by putting each into a separate table and connecting them with a one-to-many relationship. Second Normal Form eliminates functional dependencies on a partial key by putting the fields in a separate table from those that are dependent on the whole key. Third Normal Form eliminates functional dependencies on non-key fields by putting them in a separate table. At this stage, all non-key fields are dependent on the key, the whole key and nothing but the key. Fourth Normal Form separates independent multi-valued facts stored in one table into separate tables. Fifth Normal Form breaks out data redundancy that is not covered by any of the previous normal forms.
In metallurgy normalization is allowing a metal to cool to room temperature after heating without quenching or annealing. This process is confined to steel. It is used to refine grains which, have become coarse through work-hardening, to improve ductility and toughness of the steel.
In one usage in statistics, normalization is the process of removing statistical error in repeated measured data. A normalization is sometimes based on a property. Quantile normalization for instance is normalization based on the magnitude of the measures.