{"id":37389,"date":"2008-01-31T11:39:30","date_gmt":"2008-01-31T10:39:30","guid":{"rendered":"https:\/\/mancomun.gal\/sql-power-libera-ferramentas-para-business-intelligence\/"},"modified":"2008-01-31T11:39:30","modified_gmt":"2008-01-31T10:39:30","slug":"sql-power-libera-ferramentas-para-business-intelligence","status":"publish","type":"post","link":"https:\/\/mancomun.gal\/es\/sql-power-libera-ferramentas-para-business-intelligence\/","title":{"rendered":"SQL Power libera ferramentas para Business Intelligence"},"content":{"rendered":"<div align=\"justify\"><a title=\"http:\/\/www.sqlpower.ca\/page\/splash\" target=\"_blank\" href=\"http:\/\/www.sqlpower.ca\/page\/splash\" rel=\"noopener\">SQL Power<\/a> \u00e9 unha empresa canadiense, partner de <a title=\"http:\/\/www.pentaho.com\/\" target=\"_blank\" href=\"http:\/\/www.pentaho.com\/\" rel=\"noopener\">Pentaho<\/a>, que traballa en tecnolox\u00edas Business Intelligence e Data Warehouse e que est\u00e1 a orientar o seu modelo de negocio cara o C\u00f3digo Aberto. De feito, recentemente liberaron, algunhas das s\u00faas ferramentas m\u00e1is destacadas, as que permiten (coa axuda de potentes editores gr\u00e1ficos), realizar <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_cleansing\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_cleansing\" rel=\"noopener\">Data Cleansing<\/a>, <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_Modeling\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_Modeling\" rel=\"noopener\">Modeling<\/a> e <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_profiling\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_profiling\" rel=\"noopener\">Profiling<\/a>.<\/p>\n<\/div>\n<p align=\"justify\">As ferramentas son:<\/p>\n<p>\n\u00bb <a href=\"http:\/\/www.sqlpower.ca\/page\/MatchMaker\">Power MatchMaker Data Cleansing Tool<\/a><\/p>\n<blockquote>\n<p style=\"margin-bottom: 0cm;\" align=\"justify\">As ferramentas de Data Cleansing, perm\u00edtenos limpar, validar e corrixir datos das nosas fontes de orixe durante o proceso de incorporaci\u00f3n e creaci\u00f3n a un DW. Tradicionalmente estes procesos eran manuais e dif\u00edciles de replicar e manexar. Con interfaces gr\u00e1ficos isto simplif\u00edcase. Tam\u00e9n \u00e9 \u00fatil para corrixir direcci\u00f3ns err\u00f3neas, eliminar duplicados, copias de datos antes das correcci\u00f3ns, etc&#8230;<\/p>\n<\/blockquote>\n<p style=\"margin-bottom: 0cm;\">\n<p><\/p>\n<p>\u00bb <a href=\"http:\/\/www.sqlpower.ca\/page\/architect\">Power Architect Data Modeling Tool<\/a><\/p>\n<blockquote>\n<p style=\"margin-bottom: 0cm;\" align=\"justify\">Con esta ferramenta facil\u00edtase moito o traballo aos arquitectos de Data Warehouse, perm\u00edtenos modelizar todos os nosos esquemas, facer enxe\u00f1er\u00eda inversa, xerar automaticamente metadatos dos ETL, etc&#8230; Unha funcionalidade interesante \u00e9 a de crear instant\u00e1neas (snapshots) das estruturas da Base de Datos, o que permite ir facendo o dese\u00f1o e o modelado do DataWarehouse estando fora de li\u00f1a.<\/p>\n<\/blockquote>\n<p style=\"margin-bottom: 0cm;\">\n<p><\/p>\n<p style=\"margin-bottom: 0cm;\">Fonte: <a title=\"http:\/\/todobi.blogspot.com\/\" target=\"_blank\" href=\"http:\/\/todobi.blogspot.com\" rel=\"noopener\">Todo BI<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div align=\"justify\"><a title=\"http:\/\/www.sqlpower.ca\/page\/splash\" target=\"_blank\" href=\"http:\/\/www.sqlpower.ca\/page\/splash\" rel=\"noopener\">SQL Power<\/a> \u00e9 unha empresa canadiense, partner de <a title=\"http:\/\/www.pentaho.com\/\" target=\"_blank\" href=\"http:\/\/www.pentaho.com\/\" rel=\"noopener\">Pentaho<\/a>, que traballa en tecnolox\u00edas Business Intelligence e Data Warehouse e que est\u00e1 a orientar o seu modelo de negocio cara o C\u00f3digo Aberto. De feito, recentemente liberaron, algunhas das s\u00faas ferramentas m\u00e1is destacadas, as que permiten (coa axuda de potentes editores gr\u00e1ficos), realizar <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_cleansing\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_cleansing\" rel=\"noopener\">Data Cleansing<\/a>, <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_Modeling\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_Modeling\" rel=\"noopener\">Modeling<\/a> e <a title=\"http:\/\/en.wikipedia.org\/wiki\/Data_profiling\" target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Data_profiling\" rel=\"noopener\">Profiling<\/a>.<\/p>\n<\/div>\n<p align=\"justify\">As ferramentas son:<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-37389","post","type-post","status-publish","format-standard","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/posts\/37389","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/comments?post=37389"}],"version-history":[{"count":0,"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/posts\/37389\/revisions"}],"wp:attachment":[{"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/media?parent=37389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/categories?post=37389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mancomun.gal\/es\/wp-json\/wp\/v2\/tags?post=37389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}