{"id":36155,"date":"2019-10-31T22:09:53","date_gmt":"2019-10-31T19:09:53","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kachestvo-dannyh-v-hranilishhe\/"},"modified":"2019-10-31T22:09:53","modified_gmt":"2019-10-31T19:09:53","slug":"kachestvo-dannyh-v-hranilishhe","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/administrirovanie\/kachestvo-dannyh-v-hranilishhe","title":{"rendered":"Qualidade dos dados no armazenamento","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A qualidade dos dados no armazenamento \u00e9 uma pr\u00e9-condi\u00e7\u00e3o importante para a obten\u00e7\u00e3o de informa\u00e7\u00f5es valiosas. A m\u00e1 qualidade leva a uma rea\u00e7\u00e3o em cadeia negativa a longo prazo.<br \/>\nPrimeiro, a confian\u00e7a nas informa\u00e7\u00f5es fornecidas \u00e9 perdida. As pessoas come\u00e7am a usar menos aplicativos de Business Intelligence, e o potencial dos aplicativos permanece n\u00e3o utilizado.<br \/>\nComo resultado, as futuras investimentos em projetos de an\u00e1lise s\u00e3o questionados.<\/p>\n<h4>Responsabilidade pela qualidade dos dados<\/h4>\n<p>\nO aspecto relacionado \u00e0 melhoria da qualidade dos dados \u00e9 mega importante em projetos de BI. No entanto, n\u00e3o \u00e9 um privil\u00e9gio apenas de especialistas t\u00e9cnicos.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nA qualidade dos dados \u00e9 influenciada tamb\u00e9m por aspectos como<\/p>\n<p><b>Cultura corporativa<\/b><\/p>\n<ul>\n<li>Os pr\u00f3prios funcion\u00e1rios est\u00e3o interessados em produzir dados de boa qualidade?<\/li>\n<li>Se n\u00e3o, por qu\u00ea? Pode haver um conflito de interesses.<\/li>\n<li>Existem regras corporativas que definem os respons\u00e1veis pela qualidade?<\/li>\n<\/ul>\n<p>\n<b>Processos<\/b><\/p>\n<ul>\n<li>Quais dados s\u00e3o gerados no final dessas cadeias?<\/li>\n<li>Os sistemas operacionais podem estar configurados de tal forma que \u00e9 necess\u00e1rio \"dar um jeito\" para refletir determinadas situa\u00e7\u00f5es na realidade.<\/li>\n<li>Os sistemas operacionais realizam a verifica\u00e7\u00e3o e concilia\u00e7\u00e3o de dados por conta pr\u00f3pria?<\/li>\n<\/ul>\n<p>\nTodos na organiza\u00e7\u00e3o s\u00e3o respons\u00e1veis pela qualidade dos dados nos sistemas de relat\u00f3rio.<\/p>\n<h4>Defini\u00e7\u00e3o e significado<\/h4>\n<p>\nQualidade \u00e9 a satisfa\u00e7\u00e3o confirmada das expectativas do cliente.<\/p>\n<p>Mas a qualidade dos dados n\u00e3o cont\u00e9m em si uma defini\u00e7\u00e3o. Sempre reflete o contexto de uso. Um data warehouse e um sistema de BI t\u00eam objetivos diferentes de um sistema operacional, de onde os dados s\u00e3o retirados.<\/p>\n<p>Por exemplo, em um sistema operacional, o atributo do cliente pode n\u00e3o ser um campo obrigat\u00f3rio. No data warehouse, esse atributo pode ser utilizado como uma dimens\u00e3o e seu preenchimento \u00e9 obrigat\u00f3rio. O que, por sua vez, introduz a necessidade de preenchimento com valores padr\u00e3o.<\/p>\n<p>Os requisitos para data warehouses est\u00e3o em constante mudan\u00e7a e, geralmente, s\u00e3o mais altos do que para sistemas operacionais. Mas pode ser o contr\u00e1rio, quando n\u00e3o \u00e9 necess\u00e1rio armazenar informa\u00e7\u00f5es detalhadas de um sistema operacional no data warehouse.<\/p>\n<p>Para tornar a qualidade dos dados mensur\u00e1vel, seus padr\u00f5es devem ser descritos. As pessoas que usam informa\u00e7\u00f5es e n\u00fameros em seu trabalho devem ser envolvidas no processo de descri\u00e7\u00e3o. O resultado desse envolvimento pode ser uma regra que permita, com um \u00fanico olhar para a tabela, dizer se h\u00e1 um erro ou n\u00e3o. Essa regra precisa ser formatada como um script\/c\u00f3digo para verifica\u00e7\u00e3o posterior.<\/p>\n<h4>Melhoria da qualidade dos dados<\/h4>\n<p>\nN\u00e3o \u00e9 poss\u00edvel limpar e corrigir todos os erros hipot\u00e9ticos durante o carregamento dos dados no armaz\u00e9m. A boa qualidade dos dados s\u00f3 pode ser alcan\u00e7ada atrav\u00e9s de uma colabora\u00e7\u00e3o estreita entre todos os participantes. As pessoas que inserem dados nos sistemas operacionais devem entender quais a\u00e7\u00f5es levam a erros.<\/p>\n<p>A qualidade dos dados \u00e9 um processo. Infelizmente, muitas organiza\u00e7\u00f5es n\u00e3o t\u00eam uma estrat\u00e9gia para sua melhoria cont\u00ednua. Muitas se limitam a armazenar dados e n\u00e3o aproveitam todo o potencial dos sistemas anal\u00edticos. Em geral, ao desenvolver armaz\u00e9ns de dados, 70-80% do or\u00e7amento \u00e9 destinado \u00e0 implementa\u00e7\u00e3o da integra\u00e7\u00e3o de dados. O processo de controle e melhoria permanece incompleto, se \u00e9 que existe.<\/p>\n<h4>Ferramentas<\/h4>\n<p>\nA aplica\u00e7\u00e3o de ferramentas de software pode ajudar no processo de automa\u00e7\u00e3o da melhoria e monitoramento da qualidade dos dados. Por exemplo, elas podem automatizar completamente a verifica\u00e7\u00e3o t\u00e9cnica das estruturas do armaz\u00e9m: formato dos campos, presen\u00e7a de valores padr\u00e3o, conformidade com os requisitos dos nomes dos campos das tabelas.<\/p>\n<p>A verifica\u00e7\u00e3o do conte\u00fado pode ser mais complicada. \u00c0 medida que os requisitos para o armaz\u00e9m mudam, a interpreta\u00e7\u00e3o dos dados tamb\u00e9m pode mudar. A ferramenta em si pode se tornar um grande projeto, exigindo suporte.<\/p>\n<h4>Conselho<\/h4>\n<p>\nBancos de dados relacionais, onde geralmente s\u00e3o projetados os armaz\u00e9ns, t\u00eam a not\u00e1vel capacidade de criar vis\u00f5es (views). Elas podem ser usadas para verifica\u00e7\u00e3o r\u00e1pida dos dados, se forem conhecidas as particularidades do conte\u00fado. Cada caso de identifica\u00e7\u00e3o de erro ou problema nos dados pode ser registrado na forma de uma consulta ao banco de dados.<\/p>\n<p>Assim, ser\u00e1 formada uma base de conhecimentos sobre o conte\u00fado. Claro, essas consultas devem ser r\u00e1pidas. Normalmente, o processamento de visualiza\u00e7\u00f5es leva menos tempo humano do que as ferramentas organizadas em tabelas. A visualiza\u00e7\u00e3o est\u00e1 sempre pronta para mostrar o resultado da verifica\u00e7\u00e3o.<br \/>\nNo caso de relat\u00f3rios importantes, a visualiza\u00e7\u00e3o pode conter uma coluna com o destinat\u00e1rio. Faz sentido utilizar as mesmas ferramentas de BI para criar relat\u00f3rios sobre o estado da qualidade dos dados no armazenamento.<\/p>\n<h4>Exemplo<\/h4>\n<p>\nA consulta foi escrita para um banco de dados Oracle. Neste exemplo, os testes retornam um valor num\u00e9rico que pode ser interpretado conforme necess\u00e1rio. Os valores de T_MIN e T_MAX podem regular o n\u00edvel de alerta. O campo REPORT foi usado anteriormente como uma mensagem em um produto ETL comercial que n\u00e3o conseguia enviar emails de forma adequada, ent\u00e3o rpad \u00e9 uma 'gambiarra'.<\/p>\n<p>No caso de uma tabela grande, pode-se adicionar, por exemplo, AND ROWNUM &lt;= 10, ou seja, se houver 10 erros, isso \u00e9 suficiente para um alerta.<\/p>\n<pre><code class=\"sql\">CREATE OR REPLACE VIEW V_QC_DIM_PRODUCT_01 AS\nSELECT\n  CASE WHEN OUTPUT&gt;=T_MIN AND OUTPUT&lt;=T_MAX\n  THEN &#039;OK&#039; ELSE &#039;ERROR&#039; END AS RESULT,\n  DESCRIPTION,\n  TABLE_NAME, \n  OUTPUT, \n  T_MIN,\n  T_MAX,\n  rpad(DESCRIPTION,60,&#039; &#039;) || rpad(OUTPUT,8,&#039; &#039;) || rpad(T_MIN,8,&#039; &#039;) || rpad(T_MAX,8,&#039; &#039;) AS REPORT\nFROM (-- Teste em si\n  SELECT\n    &#039;DIM_PRODUCT&#039; AS TABLE_NAME,\n    &#039;Contagem de vazios&#039; AS DESCRIPTION,\n    COUNT(*) AS OUTPUT,\n    0 AS T_MIN,\n    10 AS T_MAX\n  FROM DIM_PRODUCT\n  WHERE DIM_PRODUCT_ID != -1 -- n\u00e3o valor padr\u00e3o\n  AND ATTRIBUTE IS NULL ); -- conta os vazios\n<\/code><\/pre>\n<p>\n<i>Na publica\u00e7\u00e3o foram utilizados materiais do livro<br \/>\nRonald Bachmann, Dr. Guido Kemper<br \/>\nSaindo da armadilha de BI<br \/>\nComo a Intelig\u00eancia de Neg\u00f3cios se torna um sucesso<\/i><br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/459682\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u0430\u0436\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u043f\u043e\u0441\u044b\u043b\u043a\u043e\u0439 \u043a \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044e \u0446\u0435\u043d\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438. 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\u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439 \u043e\u0441\u0442\u0430\u0451\u0442\u0441\u044f \u043d\u0435 \u0432\u043e\u0441\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u043d\u044b\u043c. \u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435, \u043f\u043e\u0434 \u0432\u043e\u043f\u0440\u043e\u0441 \u0441\u0442\u0430\u0432\u044f\u0442\u0441\u044f \u0434\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0438\u0435 \u0438\u043d\u0432\u0435\u0441\u0442\u0438\u0446\u0438\u0438 \u0432 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0435\u043a\u0442. \u041e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0437\u0430 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0410\u0441\u043f\u0435\u043a\u0442, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-36155","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u0430\u0436\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u043f\u043e\u0441\u044b\u043b\u043a\u043e\u0439 \u043a \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044e \u0446\u0435\u043d\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438.\" \/>\n\t<meta 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