{"id":2664,"date":"2022-01-20T10:46:26","date_gmt":"2022-01-20T09:46:26","guid":{"rendered":"https:\/\/protechome.fr\/?p=2664"},"modified":"2024-02-19T20:12:06","modified_gmt":"2024-02-19T19:12:06","slug":"aprendendo-como-se-faz-a-normalizacao-em-um-banco","status":"publish","type":"post","link":"https:\/\/protechome.fr\/index.php\/2022\/01\/20\/aprendendo-como-se-faz-a-normalizacao-em-um-banco\/","title":{"rendered":"Aprendendo como se faz a normaliza\u00e7\u00e3o em um Banco de Dados"},"content":{"rendered":"<p>Uma parte fundamental da normaliza\u00e7\u00e3o de banco de dados \u00e9 o uso de chaves prim\u00e1rias e estrangeiras. As chaves prim\u00e1rias s\u00e3o os identificadores \u00fanicos de cada entidade, enquanto as chaves estrangeiras garantem a integridade referencial entre as entidades. Ao usar chaves prim\u00e1rias e estrangeiras corretamente, \u00e9 poss\u00edvel garantir que os dados sejam armazenados de forma consistente e que as rela\u00e7\u00f5es entre as entidades sejam mantidas. Nesse caso fomos obrigados a utilizar uma chave prim\u00e1ria para manter a integridade de dados de Vendedor, o que mant\u00e9m a entidade desnormalizada. Mas, ao optar pela desnomaliza\u00e7\u00e3o de dados devemos levar em conta o custo da redund\u00e2ncia de dados e o uso das anomalias de atualiza\u00e7\u00e3o, o que n\u00e3o \u00e9 interessante para grandes bancos de dados.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"308px\" alt=\"Normaliza\u00e7\u00e3o de banco de dados\"\/><\/p>\n<p>Na terceira  forma normal trabalhamos precisamente  com a organiza\u00e7\u00e3o dos atributos que dependem uns dos outros, por\u00e9m que n\u00e3o s\u00e3o atributos chaves (prim\u00e1rias ou estrangeiras). Caso necess\u00e1rio, \u00e9 criada uma tabela secund\u00e1ria <a href=\"https:\/\/surgiu.com.br\/2024\/02\/17\/curso-de-analista-de-dados-como-bootcamp-da-tripleten-prepara-voce-para-o-mercado\/\">https:\/\/surgiu.com.br\/2024\/02\/17\/curso-de-analista-de-dados-como-bootcamp-da-tripleten-prepara-voce-para-o-mercado\/<\/a> para reestruturar a rela\u00e7\u00e3o de depend\u00eancia entre os atributos. A segunda forma trabalha focada nas poss\u00edveis redund\u00e2ncias nas tabelas, em especial, define se os atributos da tabela dependem inteiramente da chave prim\u00e1ria.<\/p>\n<h2>Desnormaliza\u00e7\u00e3o[editar editar c\u00f3digo-fonte]<\/h2>\n<p>Isso \u00e9 alcan\u00e7ado atrav\u00e9s da cria\u00e7\u00e3o de novas tabelas para esses atributos. Para isso, devemos localizar os valores que dependem parcialmente da chave prim\u00e1ria e criar tabelas separadas para conjuntos de valores que se aplicam a v\u00e1rios registros e relacionar estas tabelas com uma chave estrangeira. \u00c9 dito que uma tabela est\u00e1 na segunda forma normal se ela atende a todos os requisitos da primeira forma normal e se os registros na tabela, que n\u00e3o s\u00e3o chaves, dependam da chave prim\u00e1ria em sua totalidade e n\u00e3o apenas parte dela. A segunda forma normal trabalha com essas irregularidades e previne que haja redund\u00e2ncia no banco de dados.<\/p>\n<div style='text-align:center'><iframe width='565' height='313' src='https:\/\/www.youtube.com\/embed\/Bv6BVNV-R1g' frameborder='0' alt='Normaliza\u00e7\u00e3o de banco de dados' allowfullscreen><\/iframe><\/div>\n<p>A partir da 3\u00b0 forma normal diz-se que o banco de dados j\u00e1 se encontra normalizado. A FNBC, a 4FN e a 5FN s\u00e3o usadas para refinar ainda mais o banco. No entanto alguns projetos decidem parar na 3FN pois as outras formas, dependendo da situa\u00e7\u00e3o, podem exigir um pouco mais de processamento.<\/p>\n<h2>Objetivos de normaliza\u00e7\u00e3o[editar editar c\u00f3digo-fonte]<\/h2>\n<p>A diferen\u00e7a aparece quando h\u00e1 mais do que uma chave candidata e elas t\u00eam alguma intersec\u00e7\u00e3o. A ideia \u00e9 que os campos que s\u00e3o chaves candidatas sempre determinem os demais campos, e nunca sejam determinados por esses. Assim sendo, na BCFN n\u00e3o \u00e9 permitido chegar-se a uma chave candidata com base em alguma outra chave candidata por meio de depend\u00eancias funcionais. Um dos principais objetivos da <a href=\"https:\/\/surgiu.com.br\/2024\/02\/17\/curso-de-analista-de-dados-como-bootcamp-da-tripleten-prepara-voce-para-o-mercado\/\">curso de analista de dados<\/a> \u00e9 evitar a redund\u00e2ncia de dados.<\/p>\n<p>O prop\u00f3sito destas restri\u00e7\u00f5es \u00e9 descrever o universo relacional, ou seja, o conjunto de todas as rela\u00e7\u00f5es que s\u00e3o permitidas para serem associadas com certos nomes de rela\u00e7\u00e3o. O Processo de normaliza\u00e7\u00e3o aplica uma s\u00e9rie de regras sobre as tabelas de um banco de dados, para verificar se estas est\u00e3o corretamente projetadas. Embora existam cinco formas normais (ou regras de normaliza\u00e7\u00e3o), na pr\u00e1tica usamos um conjunto de tr\u00eas Formas Normais.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uma parte fundamental da normaliza\u00e7\u00e3o de banco de dados \u00e9 o uso de chaves prim\u00e1rias e estrangeiras. As chaves prim\u00e1rias s\u00e3o os identificadores \u00fanicos de cada entidade, enquanto as chaves estrangeiras garantem a integridade referencial entre as entidades. Ao usar chaves prim\u00e1rias e estrangeiras corretamente, \u00e9 poss\u00edvel garantir que os dados sejam armazenados de forma [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[215],"tags":[],"_links":{"self":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/2664"}],"collection":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/comments?post=2664"}],"version-history":[{"count":1,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/2664\/revisions"}],"predecessor-version":[{"id":2665,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/2664\/revisions\/2665"}],"wp:attachment":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/media?parent=2664"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/categories?post=2664"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/tags?post=2664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}