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First normal form

First normal form (1NF) is the most basic level of database normalization defined by English computer scientist Edgar F. Codd, the inventor of the relational database. A relation (or a table, in SQL) can be said to be in first normal form if each field is atomic, containing a single value rather than a set of values or a nested table. In other words, a…

Products, Overview & Controversy about compound values

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Explore the main themes, entities and connections around First normal form. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

18 related topics

Controversy about compound values

7 related topics

Background

6 related topics

Christopher J. Date's definition of 1NF

6 related topics

Topics to explore

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Overview

Background

Examples

Rationale

Controversy about compound values

Christopher J. Date's definition of 1NF

Advanced semantic analysis

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Map overview Semantic statistics

First normal form

Nodes50
Edges49
Triples37
Avg. degree1.96
Density0.04
Components1

How this topic connects Entity context

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First normal form

Top relations

related to background · 12
First normal form → But Codd, Codd, Data Base Relational Model, Edgar, First, For, Further Normalization, In, It, The, This, Thus
related to Christopher J. Date's definition of 1NF · 7
First normal form → According, All, Christopher, Date's, Every, IDs, There
related to Design that complies with 1NF · 6
First normal form → Codd, CustomerID, Each, In, This, To
related to Design that violates 1NF · 4
First normal form → SQL, Such, The, This

Important terminology Word statistics

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Important terminology

normal database 1nf first form relational data relations would atomic relation codd nested attribute values table hierarchical model normalization tables

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
numbersinstance ofdata includes basic types0.80text
stringsinstance ofdata includes basic types0.80text
relationsinstance ofCompound data is made up of structures0.80text
many-to-many relationshipsinstance ofaddressing nested data items would require a more complex language with support for hierarchical data paths.Representing relationships using foreign keys is more flexible and al…0.80text
while a hierarchical model can represent only one-to-one or one-to-many relationships.Since locating data items is not coupled to a parentinstance ofaddressing nested data items would require a more complex language with support for hierarchical data paths.Representing relationships using foreign keys is more flexible and al…0.80text
row IDsinstance ofrows have no hidden components0.80text
object IDsinstance ofrows have no hidden components0.80text
or hidden timestampsinstance ofrows have no hidden components0.80text
First normal formrelated to backgroundFirst0.60section
First normal formrelated to backgroundEdgar0.60section
First normal formrelated to backgroundCodd0.60section
First normal formrelated to backgroundIt0.60section

Related concept clusters Concept neighborhoods

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    Min side: 3
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