. . "OLAP (\u0430\u043D\u0433\u043B. online analytical processing, \u0438\u043D\u0442\u0435\u0440\u0430\u043A\u0442\u0438\u0432\u043D\u0430\u044F \u0430\u043D\u0430\u043B\u0438\u0442\u0438\u0447\u0435\u0441\u043A\u0430\u044F \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0430) \u2014 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u044F \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0434\u0430\u043D\u043D\u044B\u0445, \u0437\u0430\u043A\u043B\u044E\u0447\u0430\u044E\u0449\u0430\u044F\u0441\u044F \u0432 \u043F\u043E\u0434\u0433\u043E\u0442\u043E\u0432\u043A\u0435 \u0441\u0443\u043C\u043C\u0430\u0440\u043D\u043E\u0439 (\u0430\u0433\u0440\u0435\u0433\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439) \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0435 \u0431\u043E\u043B\u044C\u0448\u0438\u0445 \u043C\u0430\u0441\u0441\u0438\u0432\u043E\u0432 \u0434\u0430\u043D\u043D\u044B\u0445, \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 \u043F\u043E \u043C\u043D\u043E\u0433\u043E\u043C\u0435\u0440\u043D\u043E\u043C\u0443 \u043F\u0440\u0438\u043D\u0446\u0438\u043F\u0443. \u0420\u0435\u0430\u043B\u0438\u0437\u0430\u0446\u0438\u0438 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0438 OLAP \u044F\u0432\u043B\u044F\u044E\u0442\u0441\u044F \u043A\u043E\u043C\u043F\u043E\u043D\u0435\u043D\u0442\u0430\u043C\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u043D\u044B\u0445 \u0440\u0435\u0448\u0435\u043D\u0438\u0439 \u043A\u043B\u0430\u0441\u0441\u0430 Business Intelligence. \u041E\u0441\u043D\u043E\u0432\u043E\u043F\u043E\u043B\u043E\u0436\u043D\u0438\u043A \u0442\u0435\u0440\u043C\u0438\u043D\u0430 OLAP \u2014 \u042D\u0434\u0433\u0430\u0440 \u041A\u043E\u0434\u0434, \u043F\u0440\u0435\u0434\u043B\u043E\u0436\u0438\u043B \u0432 1993 \u0433\u043E\u0434\u0443 \u00AB12 \u043F\u0440\u0430\u0432\u0438\u043B \u0430\u043D\u0430\u043B\u0438\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0432 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C \u0432\u0440\u0435\u043C\u0435\u043D\u0438\u00BB (\u043F\u043E \u0430\u043D\u0430\u043B\u043E\u0433\u0438\u0438 \u0441 \u0440\u0430\u043D\u0435\u0435 \u0441\u0444\u043E\u0440\u043C\u0443\u043B\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u043C\u0438 \u00AB12 \u043F\u0440\u0430\u0432\u0438\u043B \u0434\u043B\u044F \u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u044B\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u043D\u044B\u0445\u00BB)."@ru . . "OLAP"@it . "36464"^^ . . "Online analytical processing of OLAP is een applicatie-architectuur die door een bedrijf wordt gebruiktter ondersteuning van de analytische applicaties. Het is geen datawarehouse of databasemanagementsysteem. De belangrijkste toepassingen van OLAP zijn bedrijfsmatige problemen waarbij uit gigantische gegevensverzamelingen gehaald moeten worden. Deze records moeten dan ook getotaliseerd worden. Om de problemen van een moderne onderneming te kunnen oplossen, heb je speciale databaseschema's nodig. Deze schema's zijn array-geori\u00EBnteerd en bevatten multidimensionale eigenschappen. Daarnaast staat de query in deze indeling centraal. Het resultaat lijkt vaak op een multidimensionale spreadsheet."@nl . . "OLAP es el acr\u00F3nimo en ingl\u00E9s de procesamiento anal\u00EDtico en l\u00EDnea'Business Intelligence) cuyo objetivo es agilizar la consulta de grandes cantidades de datos. Para ello utiliza estructuras de datos diversas, normalmente multidimensionales (o Cubos OLAP), que contienen datos resumidos de grandes Bases de datos o Sistemas Transaccionales (OLTP). Se usa en informes de negocios de ventas, marketing, informes de direcci\u00F3n, miner\u00EDa de datos y \u00E1reas similares. La raz\u00F3n de usar OLAP para las consultas es la rapidez de respuesta. Una base de datos relacional almacena entidades en tablas discretas si han sido normalizadas. Esta estructura es buena en un sistema OLTP pero para las complejas consultas multitabla es relativamente lenta. Un modelo mejor para b\u00FAsquedas (aunque peor desde el punto de vista operativo) es una base de datos multidimensional. La principal caracter\u00EDstica que potencia a OLAP, es que es lo m\u00E1s r\u00E1pido a la hora de ejecutar sentencias SQL de tipo SELECT, en contraposici\u00F3n con OLTP que es la mejor opci\u00F3n para operaciones de tipo INSERT, UPDATE Y DELETE [cita requerida]."@es . . . . . . "OLAP\uFF08\u30AA\u30FC\u30E9\u30C3\u30D7\uFF09\u306F\u3001\u8907\u96D1\u3067\u5206\u6790\u7684\u306A\u554F\u3044\u5408\u308F\u305B\u306B\u7D20\u65E9\u304F\u56DE\u7B54\u3092\u884C\u3046\u65B9\u6CD5\u3002\u30D3\u30B8\u30CD\u30B9\u30A4\u30F3\u30C6\u30EA\u30B8\u30A7\u30F3\u30B9\u3068\u547C\u3070\u308C\u308B\u3088\u308A\u5927\u304D\u306A\u30AB\u30C6\u30B4\u30EA\u306B\u5C5E\u3057\u3066\u3044\u308B\u3002 OLAP\u306E\u5178\u578B\u7684\u306A\u7528\u9014\u306F\u58F2\u4E0A\u5831\u544A\u3001\u5E02\u5834\u5206\u6790\u3001\u7D4C\u55B6\u5831\u544A\u3001\u30D3\u30B8\u30CD\u30B9\u696D\u7E3E\u7BA1\u7406\uFF08BPM\uFF09\u3001\u4E88\u7B97\u4F5C\u6210\u3001\u8A08\u753B\u4F5C\u6210\u3001\u8CA1\u52D9\u8AF8\u8868\u4F5C\u6210\u306A\u3069\u3067\u3042\u308B\u3002OnLine Analytical Processing\u306E\u982D\u6587\u5B57\u3092\u7565\u3057\u305F\u8A9E\u3067\u3042\u308A\u3001\u65E5\u672C\u8A9E\u3067\u306F\u30AA\u30F3\u30E9\u30A4\u30F3\u5206\u6790\u51E6\u7406\u3082\u3057\u304F\u306F\u591A\u6B21\u5143\u5206\u6790\u3068\u3082\u547C\u3070\u308C\u308B\u3002 OLAP\u306E\u4E3B\u306A\u7279\u5FB4\u306F\u4EE5\u4E0B\u306E\u70B9\u306B\u3042\u308B\u3002 \n* \uFF08\u95A2\u4FC2\u30E2\u30C7\u30EB\u3067\u306F\u306A\u304F\uFF09\u591A\u6B21\u5143\u30C7\u30FC\u30BF\u30E2\u30C7\u30EB\u3092\u64CD\u4F5C\u3059\u308B\u3053\u3068 \n* \u8907\u96D1\u3001\u5206\u6790\u7684\u3067\u305D\u306E\u5834\u306B\u5FDC\u3058\u305F\u554F\u3044\u5408\u308F\u305B\u3092\u884C\u3048\u308B\u3053\u3068 \n* \u975E\u5E38\u306B\u9AD8\u901F\uFF08\u901A\u5E38\u306F5\u79D2\u4EE5\u5185\u306B\u7D50\u679C\u3092\u8FD4\u3059\uFF09\u3067\u3042\u308B\u3053\u3068 \u3053\u306E\u3088\u3046\u306A\u7406\u7531\u304B\u3089\u3001\u306FOLAP\u306E\u30B3\u30F3\u30BB\u30D7\u30C8\u3092\u3088\u308A\u6B63\u78BA\u306B\u8868\u3059\u8A00\u8449\u3068\u3057\u3066FASMI\uFF08Fast Analysis of Shared Multidimensional Information\uFF09\u3092\u63D0\u5531\u3057\u3066\u3044\u308B\u3002"@ja . . "Online analytical processing of OLAP is een applicatie-architectuur die door een bedrijf wordt gebruiktter ondersteuning van de analytische applicaties. Het is geen datawarehouse of databasemanagementsysteem. De belangrijkste toepassingen van OLAP zijn bedrijfsmatige problemen waarbij uit gigantische gegevensverzamelingen gehaald moeten worden. Deze records moeten dan ook getotaliseerd worden. Om de problemen van een moderne onderneming te kunnen oplossen, heb je speciale databaseschema's nodig. Deze schema's zijn array-geori\u00EBnteerd en bevatten multidimensionale eigenschappen. Daarnaast staat de query in deze indeling centraal. Het resultaat lijkt vaak op een multidimensionale spreadsheet."@nl . "OLAP (\u0430\u043D\u0433\u043B. online analytical processing, \u0438\u043D\u0442\u0435\u0440\u0430\u043A\u0442\u0438\u0432\u043D\u0430\u044F \u0430\u043D\u0430\u043B\u0438\u0442\u0438\u0447\u0435\u0441\u043A\u0430\u044F \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0430) \u2014 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u044F \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0434\u0430\u043D\u043D\u044B\u0445, \u0437\u0430\u043A\u043B\u044E\u0447\u0430\u044E\u0449\u0430\u044F\u0441\u044F \u0432 \u043F\u043E\u0434\u0433\u043E\u0442\u043E\u0432\u043A\u0435 \u0441\u0443\u043C\u043C\u0430\u0440\u043D\u043E\u0439 (\u0430\u0433\u0440\u0435\u0433\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439) \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0435 \u0431\u043E\u043B\u044C\u0448\u0438\u0445 \u043C\u0430\u0441\u0441\u0438\u0432\u043E\u0432 \u0434\u0430\u043D\u043D\u044B\u0445, \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 \u043F\u043E \u043C\u043D\u043E\u0433\u043E\u043C\u0435\u0440\u043D\u043E\u043C\u0443 \u043F\u0440\u0438\u043D\u0446\u0438\u043F\u0443. \u0420\u0435\u0430\u043B\u0438\u0437\u0430\u0446\u0438\u0438 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0438 OLAP \u044F\u0432\u043B\u044F\u044E\u0442\u0441\u044F \u043A\u043E\u043C\u043F\u043E\u043D\u0435\u043D\u0442\u0430\u043C\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u043D\u044B\u0445 \u0440\u0435\u0448\u0435\u043D\u0438\u0439 \u043A\u043B\u0430\u0441\u0441\u0430 Business Intelligence. \u041E\u0441\u043D\u043E\u0432\u043E\u043F\u043E\u043B\u043E\u0436\u043D\u0438\u043A \u0442\u0435\u0440\u043C\u0438\u043D\u0430 OLAP \u2014 \u042D\u0434\u0433\u0430\u0440 \u041A\u043E\u0434\u0434, \u043F\u0440\u0435\u0434\u043B\u043E\u0436\u0438\u043B \u0432 1993 \u0433\u043E\u0434\u0443 \u00AB12 \u043F\u0440\u0430\u0432\u0438\u043B \u0430\u043D\u0430\u043B\u0438\u0442\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0432 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C \u0432\u0440\u0435\u043C\u0435\u043D\u0438\u00BB (\u043F\u043E \u0430\u043D\u0430\u043B\u043E\u0433\u0438\u0438 \u0441 \u0440\u0430\u043D\u0435\u0435 \u0441\u0444\u043E\u0440\u043C\u0443\u043B\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u043C\u0438 \u00AB12 \u043F\u0440\u0430\u0432\u0438\u043B \u0434\u043B\u044F \u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u044B\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u043D\u044B\u0445\u00BB)."@ru . . . . . . . . . . "\u7DDA\u4E0A\u5206\u6790\u8655\u7406"@zh . . "OLAP (\u0430\u043D\u0433\u043B. online analytical processing, \u0430\u043D\u0430\u043B\u0456\u0442\u0438\u0447\u043D\u0430 \u043E\u0431\u0440\u043E\u0431\u043A\u0430 \u0443 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C\u0443 \u0447\u0430\u0441\u0456) \u2014 \u0446\u0435 \u0456\u043D\u0442\u0435\u0440\u0430\u043A\u0442\u0438\u0432\u043D\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0449\u043E \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u0454 \u043F\u0435\u0440\u0435\u0433\u043B\u044F\u0434\u0430\u0442\u0438 \u0440\u0456\u0437\u043D\u0456 \u043F\u0456\u0434\u0441\u0443\u043C\u043A\u0438 \u043F\u043E \u0431\u0430\u0433\u0430\u0442\u043E\u0432\u0438\u043C\u0456\u0440\u043D\u0438\u0445 \u0434\u0430\u043D\u0438\u0445. \u0422\u0435\u0440\u043C\u0456\u043D \"\u0432 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C\u0443 \u0447\u0430\u0441\u0456\" (\u0430\u043D\u0433\u043B. online) \u043E\u0437\u043D\u0430\u0447\u0430\u0454 \u0449\u043E \u043D\u043E\u0432\u0456 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442\u0438 \u043E\u0442\u0440\u0438\u043C\u0443\u044E\u0442\u044C\u0441\u044F \u043F\u0440\u043E\u0442\u044F\u0433\u043E\u043C \u0441\u0435\u043A\u0443\u043D\u0434, \u0431\u0435\u0437 \u0434\u043E\u0432\u0433\u043E\u0433\u043E \u043E\u0447\u0456\u043A\u0443\u0432\u0430\u043D\u043D\u044F \u043D\u0430 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \u0437\u0430\u043F\u0438\u0442\u0443. \u041E\u0441\u043D\u043E\u0432\u043E\u043F\u043E\u043B\u043E\u0436\u043D\u0438\u043A\u043E\u043C OLAP \u0454 \u0430\u0432\u0442\u043E\u0440 \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u043E\u0457 \u043C\u043E\u0434\u0435\u043B\u0456 \u0434\u0430\u043D\u0438\u0445 \u0415\u0434\u0433\u0430\u0440 \u041A\u043E\u0434\u0434, \u044F\u043A\u0438\u0439 \u0437\u0430\u043F\u0440\u043E\u043F\u043E\u043D\u0443\u0432\u0430\u0432 \u0443 1993 \u0440\u043E\u0446\u0456 \u00AB12 \u043F\u0440\u0430\u0432\u0438\u043B \u0430\u043D\u0430\u043B\u0456\u0442\u0438\u0447\u043D\u043E\u0457 \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u0432 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C\u0443 \u0447\u0430\u0441\u0456\u00BB - \u0437\u0430 \u0430\u043D\u0430\u043B\u043E\u0433\u0456\u0454\u044E \u0437 \u0440\u0430\u043D\u0456\u0448\u0435 \u0441\u0444\u043E\u0440\u043C\u0443\u043B\u044C\u043E\u0432\u0430\u043D\u0438\u043C\u0438 \u043D\u0438\u043C 12-\u043C\u0430 \u043F\u0440\u0430\u0432\u0438\u043B\u0430\u043C\u0438 \u0434\u043B\u044F \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0438\u0445 \u0411\u0414. \u0423 1995 \u0440\u043E\u0446\u0456 \u0415\u0434\u0433\u0430\u0440 \u041A\u043E\u0434\u0434 \u0434\u043E\u0434\u0430\u0432 \u0449\u0435 6 \u043F\u0440\u0430\u0432\u0438\u043B \u0442\u0430 \u043F\u0435\u0440\u0435\u0444\u043E\u0440\u043C\u0430\u0442\u0443\u0432\u0430\u0432 \u0457\u0445 . \u0423 2001 \u0440\u043E\u0446\u0456 \u0434\u043B\u044F \u0432\u0438\u0437\u043D\u0430\u0447\u0435\u043D\u043D\u044F OLAP \u0431\u0443\u0432 \u0437\u0430\u043F\u0440\u043E\u043F\u043E\u043D\u043E\u0432\u0430\u043D\u0438\u0439 \u0431\u0456\u043B\u044C\u0448 \u043F\u0440\u043E\u0441\u0442\u0438\u0439 \u0442\u0435\u0441\u0442 FASMI (4 \u0432\u0438\u043C\u043E\u0433\u0438). \u042F\u043A \u0437\u0430\u0437\u043D\u0430\u0447\u0438\u0432 \u0415. \u041A\u043E\u0434\u0434, \u0433\u043E\u043B\u043E\u0432\u043D\u043E\u044E \u043F\u0440\u0438\u0447\u0438\u043D\u043E\u044E \u0440\u043E\u0437\u0440\u043E\u0431\u043A\u0438 OLAP \u0441\u0442\u0430\u043B\u0430 \u043D\u0435\u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u043D\u0456\u0441\u0442\u044C \u043A\u043B\u0430\u0441\u0438\u0447\u043D\u043E\u0457 \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u043E\u0457 \u043C\u043E\u0434\u0435\u043B\u0456 \u0434\u0430\u043D\u0438\u0445 \u043F\u043E\u0442\u0440\u0435\u0431\u0430\u043C \u0430\u043D\u0430\u043B\u0456\u0442\u0438\u043A\u0456\u0432 \u0449\u043E\u0434\u043E \u0448\u0432\u0438\u0434\u043A\u043E\u0433\u043E (online) \u043E\u0442\u0440\u0438\u043C\u0430\u043D\u043D\u044F \u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u0435\u0439 \u043D\u0430 \u0440\u0456\u0437\u043D\u043E\u043C\u0430\u043D\u0456\u0442\u043D\u0456 \u0435\u0432\u0440\u0438\u0441\u0442\u0438\u0447\u043D\u0456 \u0430\u043D\u0430\u043B\u0456\u0442\u0438\u0447\u043D\u0456 \u0437\u0430\u043F\u0438\u0442\u0438 . \u0420\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0456 \u0411\u0414 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u044E\u0442\u044C \u0441\u0443\u0442\u043D\u043E\u0441\u0442\u0456 \u0432 \u043E\u043A\u0440\u0435\u043C\u0438\u0445 \u0442\u0430\u0431\u043B\u0438\u0446\u044F\u0445, \u044F\u043A\u0456 \u0437\u0430\u0437\u0432\u0438\u0447\u0430\u0439 \u0434\u043E\u0431\u0440\u0435 \u043D\u043E\u0440\u043C\u0430\u043B\u0456\u0437\u043E\u0432\u0430\u043D\u0456 - \u0446\u044F \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0430 \u0437\u0440\u0443\u0447\u043D\u0430 \u0434\u043B\u044F \u043E\u043F\u0435\u0440\u0430\u0446\u0456\u0439\u043D\u0438\u0445 \u0411\u0414 (\u0442\u0440\u0430\u043D\u0437\u0430\u043A\u0446\u0456\u0439\u043D\u0456 \u0441\u0438\u0441\u0442\u0435\u043C\u0438, OLTP - Online Transaction Processing), \u0430\u043B\u0435 \u0441\u043A\u043B\u0430\u0434\u043D\u0456 \u0431\u0430\u0433\u0430\u0442\u043E\u0442\u0430\u0431\u043B\u0438\u0447\u043D\u0456 \u0437\u0430\u043F\u0438\u0442\u0438 \u0432 \u043D\u0456\u0439 \u0432\u0438\u043A\u043E\u043D\u0443\u044E\u0442\u044C\u0441\u044F \u0432\u0456\u0434\u043D\u043E\u0441\u043D\u043E \u043F\u043E\u0432\u0456\u043B\u044C\u043D\u043E. \u0417\u0440\u0443\u0447\u043D\u0456\u0448\u043E\u044E \u043C\u043E\u0434\u0435\u043B\u043B\u044E \u0434\u043B\u044F \u0432\u0438\u043A\u043E\u043D\u0430\u043D\u043D\u044F \u0437\u0430\u043F\u0438\u0442\u0456\u0432 (\u0430\u043B\u0435 \u043D\u0435 \u0434\u043B\u044F \u0432\u043D\u0435\u0441\u0435\u043D\u043D\u044F \u0437\u043C\u0456\u043D) \u0454 \u043F\u0440\u043E\u0441\u0442\u043E\u0440\u043E\u0432\u0430 \u0411\u0414. OLAP \u0440\u043E\u0431\u0438\u0442\u044C \u043C\u0438\u0442\u0442\u0454\u0432\u0438\u0439 \u0437\u043D\u0456\u043C\u043E\u043A \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u043E\u0457 \u0411\u0414 \u0456 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0443\u0454 \u0457\u0457 \u0432 \u043F\u0440\u043E\u0441\u0442\u043E\u0440\u043E\u0432\u0443 \u043C\u043E\u0434\u0435\u043B\u044C \u0434\u043B\u044F \u0437\u0430\u043F\u0438\u0442\u0456\u0432. \u0417\u0430\u044F\u0432\u043B\u0435\u043D\u0438\u0439 \u0447\u0430\u0441 \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u0437\u0430\u043F\u0438\u0442\u0456\u0432 \u0432 OLAP \u0441\u0442\u0430\u043D\u043E\u0432\u0438\u0442\u044C \u0431\u043B\u0438\u0437\u044C\u043A\u043E 0,1 % \u0432\u0456\u0434 \u0430\u043D\u0430\u043B\u043E\u0433\u0456\u0447\u043D\u0438\u0445 \u0437\u0430\u043F\u0438\u0442\u0456\u0432 \u0434\u043E \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u043E\u0457 \u0411\u0414.[\u0434\u0436\u0435\u0440\u0435\u043B\u043E?]"@uk . . "Online analytical processing, or OLAP (/\u02C8o\u028Al\u00E6p/), is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas, with new applications emerging, such as agriculture."@en . . . . . . . . "OLAP, acronimo dell'espressione On-Line Analytical Processing, designa un insieme di tecniche software per l'analisi interattiva e veloce di grandi quantit\u00E0 di dati, che \u00E8 possibile esaminare in modalit\u00E0 piuttosto complesse. Questa \u00E8 la componente tecnologica base del data warehouse e, ad esempio, serve alle aziende per analizzare i risultati delle vendite, l'andamento dei costi di acquisto merci, al marketing per misurare il successo di una campagna pubblicitaria, a una universit\u00E0 per organizzare i dati di un sondaggio ed altri casi simili. Gli strumenti OLAP si differenziano dagli OLTP per il fatto che i primi hanno come obiettivo la performance nella ricerca e il raggiungimento di interrogazioni quanto pi\u00F9 articolate sia possibile; i secondi, invece, mirano ad una garanzia di integrit\u00E0 "@it . . . . . . . . . "OLAP"@ja . . . "OLAP es el acr\u00F3nimo en ingl\u00E9s de procesamiento anal\u00EDtico en l\u00EDnea'Business Intelligence) cuyo objetivo es agilizar la consulta de grandes cantidades de datos. Para ello utiliza estructuras de datos diversas, normalmente multidimensionales (o Cubos OLAP), que contienen datos resumidos de grandes Bases de datos o Sistemas Transaccionales (OLTP). Se usa en informes de negocios de ventas, marketing, informes de direcci\u00F3n, miner\u00EDa de datos y \u00E1reas similares."@es . . . "OLAP (ang. On-Line Analytical Processing) \u2013 przetwarzanie informacji z wykorzystaniem wielowymiarowej bazy danych. Narz\u0119dzia OLAP s\u0105 u\u017Cywane do wykonywania analiz trend\u00F3w sprzeda\u017Cy lub analiz finansowych (hurtownia danych). S\u0105 te\u017C przydatne do wst\u0119pnego przegl\u0105dania zbioru danych przez analityka we wst\u0119pnej fazie analiz statystycznych. Poj\u0119cie OLAP powsta\u0142o poprzez modyfikacje poj\u0119cia zwi\u0105zanego z tradycyjnymi bazami danych \u2013 OLTP (Online Transaction Processing)."@pl . "OLAP"@pt . "OLAP (Online Analytical Processing) \u00E9 a capacidade para manipular e analisar um grande volume de dados sob m\u00FAltiplas perspectivas. As aplica\u00E7\u00F5es OLAP s\u00E3o usadas pelos gestores em qualquer n\u00EDvel da organiza\u00E7\u00E3o para lhes permitir an\u00E1lises comparativas que facilitem a sua tomada de decis\u00F5es di\u00E1rias. A arquitetura OLAP possui ferramentas que s\u00E3o classificadas em cinco tipos que s\u00E3o: ROLAP, MOLAP, HOLAP, DOLAP e WOLAP (al\u00E9m de )."@pt . . "Online analytical processing, or OLAP (/\u02C8o\u028Al\u00E6p/), is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas, with new applications emerging, such as agriculture. The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). OLAP tools enable users to analyze multidimensional data interactively from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing. Consolidation involves the aggregation of data that can be accumulated and computed in one or more dimensions. For example, all sales offices are rolled up to the sales department or sales division to anticipate sales trends. By contrast, the drill-down is a technique that allows users to navigate through the details. For instance, users can view the sales by individual products that make up a region's sales. Slicing and dicing is a feature whereby users can take out (slicing) a specific set of data of the OLAP cube and view (dicing) the slices from different viewpoints. These viewpoints are sometimes called dimensions (such as looking at the same sales by salesperson, or by date, or by customer, or by product, or by region, etc.). Databases configured for OLAP use a multidimensional data model, allowing for complex analytical and ad hoc queries with a rapid execution time. They borrow aspects of navigational databases, hierarchical databases and relational databases. OLAP is typically contrasted to OLTP (online transaction processing), which is generally characterized by much less complex queries, in a larger volume, to process transactions rather than for the purpose of business intelligence or reporting. Whereas OLAP systems are mostly optimized for read, OLTP has to process all kinds of queries (read, insert, update and delete)."@en . "OLAP"@uk . . "OLAP (Online Analytical Processing) je technologie ulo\u017Een\u00ED dat v datab\u00E1zi, kter\u00E1 umo\u017E\u0148uje uspo\u0159\u00E1dat velk\u00E9 objemy dat tak, aby byla data p\u0159\u00EDstupn\u00E1 a srozumiteln\u00E1 u\u017Eivatel\u016Fm zab\u00FDvaj\u00EDc\u00EDm se anal\u00FDzou obchodn\u00EDch trend\u016F a v\u00FDsledk\u016F (Business Intelligence). Zp\u016Fsob ulo\u017Een\u00ED dat se sv\u00FDm zam\u011B\u0159en\u00EDm li\u0161\u00ED od b\u011B\u017En\u011Bji u\u017E\u00EDvan\u00E9ho OLTP (Online Transaction Processing), kde je d\u016Fraz kladen p\u0159edev\u0161\u00EDm na snadn\u00E9 a bezpe\u010Dn\u00E9 ukl\u00E1d\u00E1n\u00ED zm\u011Bn v datech v konkuren\u010Dn\u00EDm (v\u00EDceu\u017Eivatelsk\u00E9m) prost\u0159ed\u00ED. Z\u00E1kladn\u00ED rozd\u00EDly mezi OLAP a OLTP vypl\u00FDvaj\u00ED z rozd\u00EDln\u00E9ho pou\u017Eit\u00ED \u2013 u OLAP se jedn\u00E1 o jednor\u00E1zov\u011B nahr\u00E1van\u00E1 data, nad kter\u00FDmi jsou prov\u00E1d\u011Bny slo\u017Eit\u00E9 dotazy, u OLTP jsou data pr\u016Fb\u011B\u017En\u011B a \u010Dasto modifikov\u00E1na a p\u0159id\u00E1v\u00E1na, a to obvykle mnoha u\u017Eivateli z\u00E1rove\u0148: \n* OLAP nepou\u017E\u00EDv\u00E1 na rozd\u00EDl od OLTP normalizovan\u00E9 ulo\u017Een\u00ED dat v 3NF form\u011B \u2013 data jsou v ulo\u017Eena tak, aby umo\u017E\u0148ovala rychlou realizaci slo\u017Eit\u00FDch dotaz\u016F, \u010Dast\u00E9 je zdvojen\u00E9 (redundantn\u00ED) ulo\u017Een\u00ED, kter\u00E9 by v p\u0159\u00EDpad\u011B OLTP komplikovalo prov\u00E1d\u011Bn\u00ED zm\u011Bn v datech, \n* OLAP pou\u017E\u00EDv\u00E1 podstatn\u011B v\u00EDce index\u016F ne\u017E OLTP \u2013 op\u011Bt to souvis\u00ED se zam\u011B\u0159en\u00EDm, kde indexy umo\u017E\u0148uj\u00ED rychl\u00E9 proveden\u00ED slo\u017Eit\u00FDch dotaz\u016F, \n* OLAP na rozd\u00EDl od OLTP \u010Dasto pou\u017E\u00EDv\u00E1 p\u0159edpo\u010D\u00EDtan\u00E9 agregovan\u00E9 a odvozen\u00E9 hodnoty."@cs . . "Online analytical processing"@nl . "OLAP, acronimo dell'espressione On-Line Analytical Processing, designa un insieme di tecniche software per l'analisi interattiva e veloce di grandi quantit\u00E0 di dati, che \u00E8 possibile esaminare in modalit\u00E0 piuttosto complesse. Questa \u00E8 la componente tecnologica base del data warehouse e, ad esempio, serve alle aziende per analizzare i risultati delle vendite, l'andamento dei costi di acquisto merci, al marketing per misurare il successo di una campagna pubblicitaria, a una universit\u00E0 per organizzare i dati di un sondaggio ed altri casi simili. Gli strumenti OLAP si differenziano dagli OLTP per il fatto che i primi hanno come obiettivo la performance nella ricerca e il raggiungimento di interrogazioni quanto pi\u00F9 articolate sia possibile; i secondi, invece, mirano ad una garanzia di integrit\u00E0 e sicurezza delle transazioni. L'applicazione tipica di OLAP \u00E8 all'interno di strumenti di business intelligence (BI)."@it . . "OLAP (ang. On-Line Analytical Processing) \u2013 przetwarzanie informacji z wykorzystaniem wielowymiarowej bazy danych. Narz\u0119dzia OLAP s\u0105 u\u017Cywane do wykonywania analiz trend\u00F3w sprzeda\u017Cy lub analiz finansowych (hurtownia danych). S\u0105 te\u017C przydatne do wst\u0119pnego przegl\u0105dania zbioru danych przez analityka we wst\u0119pnej fazie analiz statystycznych. Poj\u0119cie OLAP powsta\u0142o poprzez modyfikacje poj\u0119cia zwi\u0105zanego z tradycyjnymi bazami danych \u2013 OLTP (Online Transaction Processing)."@pl . . . "Online Analytical Processing"@cs . . . . . . . . . . "\u8054\u673A\u5206\u6790\u5904\u7406\uFF08\u82F1\u8A9E\uFF1AOnline analytical processing\uFF09\uFF0C\u7B80\u79F0OLAP (/\u02C8o\u028Al\u00E6p/)\uFF0C\u662F\u8BA1\u7B97\u673A\u6280\u672F\u4E2D\u5FEB\u901F\u89E3\u51B3\uFF08MDA\uFF09\u7684\u4E00\u79CD\u65B9\u6CD5\u3002 OLAP\u662F\u66F4\u5E7F\u6CDB\u7684\u5546\u4E1A\u667A\u80FD\u8303\u7574\u7684\u4E00\u90E8\u5206\uFF0C\u5B83\u8FD8\u5305\u62EC\u5173\u7CFB\u6570\u636E\u5E93\u3001\u62A5\u544A\u7F16\u5199\u548C\u6570\u636E\u6316\u6398\u3002 OLAP\u7684\u5178\u578B\u5E94\u7528\u5305\u62EC\u9500\u552E\u3001\u5E02\u573A\u8425\u9500\u3001\u7BA1\u7406\u62A5\u544A\u3001\u4E1A\u52A1\u6D41\u7A0B\u7BA1\u7406\uFF08BPM\uFF09\u3001\u9810\u7B97\u548C\u9884\u6D4B\u3001\u8CA1\u52D9\u5831\u8868\u4EE5\u53CA\u7C7B\u4F3C\u9886\u57DF\uFF0C\u65B0\u7684\u5E94\u7528\u6B63\u5728\u51FA\u73B0\uFF0C\u5982\u519C\u4E1A\u3002 \u672F\u8BED\u201COLAP\u201D\u662F\u5BF9\u4F20\u7EDF\u6570\u636E\u5E93\u672F\u8BED\u201C\u8054\u673A\u4E8B\u52A1\u5904\u7406\u201D\uFF08OLTP\uFF09\u7A0D\u5FAE\u4FEE\u6539\u800C\u6210\u7684\u3002 OLAP\u5DE5\u5177\u8BA9\u7528\u6237\u80FD\u591F\u4ECE\u591A\u4E2A\u89D2\u5EA6\u4EA4\u4E92\u5730\u5206\u6790\u591A\u7EF4\u6570\u636E\u3002OLAP\u7531\u4E09\u4E2A\u57FA\u672C\u7684\u5206\u6790\u64CD\u4F5C\u7EC4\u6210\uFF1A\u4E0A\u5377\uFF08roll-up\uFF09\u3001\u94BB\u53D6\uFF08drill-down\uFF09\u3001\u5207\u7247\uFF08slicing\uFF09\u548C\u5207\u5757\uFF08dicing\uFF09\u3002 \u4E0A\u5377\u6D89\u53CA\u53EF\u4EE5\u5728\u4E00\u4E2A\u6216\u591A\u4E2A\u7EF4\u5EA6\u4E2D\u7D2F\u79EF\u548C\u8BA1\u7B97\u7684\u6570\u636E\u7684\u805A\u5408\u3002\u4F8B\u5982\uFF0C\u6240\u6709\u7684\u9500\u552E\u529E\u4E8B\u5904\u6C47\u603B\u5230\u9500\u552E\u90E8\u95E8\uFF0C\u4EE5\u9884\u6D4B\u9500\u552E\u8D8B\u52BF\u3002\u76F8\u6BD4\u4E4B\u4E0B\uFF0C\u94BB\u53D6\u662F\u4E00\u79CD\u5141\u8BB8\u7528\u6237\u6D4F\u89C8\u8BE6\u7EC6\u4FE1\u606F\u7684\u6280\u672F\u3002\u4F8B\u5982\uFF0C\u7528\u6237\u53EF\u4EE5\u67E5\u770B\u7EC4\u6210\u4E00\u4E2A\u5730\u533A\u9500\u552E\u989D\u7684\u5355\u4E2A\u4EA7\u54C1\u7684\u9500\u552E\u989D\u3002\u5207\u7247\u548C\u5207\u5757\u662F\u8BF4\uFF0C\u7528\u6237\u53EF\u4EE5\u4ECEOLAP\u591A\u7EF4\u6570\u636E\u96C6\u4E2D\u53D6\u51FA\uFF08\u5207\u7247\uFF09\u4E00\u7EC4\u7279\u5B9A\u7684\u6570\u636E\uFF0C\u5E76\u4ECE\u4E0D\u540C\u7684\u89D2\u5EA6\u67E5\u770B\uFF08\u5207\u5757\uFF09\u5207\u7247\u3002\u8FD9\u4E9B\u89D2\u5EA6\u6709\u65F6\u88AB\u79F0\u4E3A\u7EF4\u5EA6\uFF08\u4F8B\u5982\u6309\u9500\u552E\u4EBA\u5458\u3001\u6309\u65E5\u671F\u3001\u6309\u5BA2\u6237\u3001\u6309\u4EA7\u54C1\u6216\u6309\u5730\u533A\u67E5\u770B\u76F8\u540C\u7684\u9500\u552E\u60C5\u51B5\u7B49\uFF09\u3002 \u4E3AOLAP\u914D\u7F6E\u7684\u6570\u636E\u5E93\u4F7F\u7528\u591A\u7EF4\u6570\u636E\u6A21\u578B\uFF0C\u5141\u8BB8\u5FEB\u901F\u6267\u884C\u590D\u6742\u7684\u5206\u6790\u67E5\u8BE2\u548C\u5373\u5E2D\u67E5\u8BE2\u3002 \u5B83\u4EEC\u501F\u9274\u4E86\u3001\u5C42\u6B21\u578B\u6570\u636E\u5E93\u548C\u5173\u7CFB\u578B\u6570\u636E\u5E93\u7684\u5404\u4E2A\u65B9\u9762\u3002 OLAP\u901A\u5E38\u4E0EOLTP\uFF08\u8054\u673A\u4E8B\u52A1\u5904\u7406\uFF09\u5F62\u6210\u5BF9\u6BD4\uFF0COLTP\u7684\u7279\u70B9\u662F\u67E5\u8BE2\u7684\u590D\u6742\u6027\u8981\u5C0F\u5F97\u591A\uFF0C\u800C\u4E14\u67E5\u8BE2\u91CF\u8981\u5927\u5F97\u591A\uFF0C\u4EE5\u5904\u7406\u4E8B\u52A1\uFF0C\u800C\u4E0D\u662F\u7528\u4E8E\u5546\u4E1A\u667A\u80FD\u6216\u62A5\u544A\u3002OLAP\u7CFB\u7EDF\u4E3B\u8981\u9488\u5BF9\u8BFB\u53D6\u8FDB\u884C\u4F18\u5316\uFF0C\u800COLTP\u5F97\u80FD\u5904\u7406\u5404\u79CD\u67E5\u8BE2\uFF08\u8BFB\u53D6\u3001\u63D2\u5165\u3001\u66F4\u65B0\u548C\u5220\u9664\uFF09\u3002"@zh . . . . . . . . . . . . "Online analytical processing"@in . . . . . . . . . . "OLAP"@ca . . "OLAP (Online Analytical Processing) je technologie ulo\u017Een\u00ED dat v datab\u00E1zi, kter\u00E1 umo\u017E\u0148uje uspo\u0159\u00E1dat velk\u00E9 objemy dat tak, aby byla data p\u0159\u00EDstupn\u00E1 a srozumiteln\u00E1 u\u017Eivatel\u016Fm zab\u00FDvaj\u00EDc\u00EDm se anal\u00FDzou obchodn\u00EDch trend\u016F a v\u00FDsledk\u016F (Business Intelligence). Zp\u016Fsob ulo\u017Een\u00ED dat se sv\u00FDm zam\u011B\u0159en\u00EDm li\u0161\u00ED od b\u011B\u017En\u011Bji u\u017E\u00EDvan\u00E9ho OLTP (Online Transaction Processing), kde je d\u016Fraz kladen p\u0159edev\u0161\u00EDm na snadn\u00E9 a bezpe\u010Dn\u00E9 ukl\u00E1d\u00E1n\u00ED zm\u011Bn v datech v konkuren\u010Dn\u00EDm (v\u00EDceu\u017Eivatelsk\u00E9m) prost\u0159ed\u00ED."@cs . . "\uC628\uB77C\uC778 \uBD84\uC11D \uCC98\uB9AC(Online Analytical Processing, OLAP)\uB294 \uC758\uC0AC\uACB0\uC815 \uC9C0\uC6D0 \uC2DC\uC2A4\uD15C \uAC00\uC6B4\uB370 \uB300\uD45C\uC801\uC778 \uC608\uB85C, \uC0AC\uC6A9\uC790\uAC00 \uB3D9\uC77C\uD55C \uB370\uC774\uD130\uB97C \uC5EC\uB7EC \uAE30\uC900\uC744 \uC774\uC6A9\uD558\uB294 \uB2E4\uC591\uD55C \uBC29\uC2DD\uC73C\uB85C \uBC14\uB77C\uBCF4\uBA74\uC11C \uB2E4\uCC28\uC6D0 \uB370\uC774\uD130 \uBD84\uC11D\uC744 \uD560 \uC218 \uC788\uB3C4\uB85D \uB3C4\uC640\uC900\uB2E4. OLAP\uB294 1993\uB144 \uC5D0\uB4DC\uAC70 F. \uCEE4\uB4DC\uC5D0 \uC758\uD574 \uCC98\uC74C \uC81C\uC548\uB41C \uAC83\uC73C\uB85C, \uADF8\uB294 OLAP\uC744 \uC0AC\uC6A9\uC790\uAC00 \uB2E4\uCC28\uC6D0 \uC815\uBCF4\uC5D0 \uC9C1\uC811 \uC811\uADFC\uD558\uC5EC \uB300\uD654 \uD615\uD0DC\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC5D0 \uD65C\uC6A9\uD558\uB294 \uACFC\uC815\uC774\uB77C\uACE0 \uC815\uC758\uD558\uC600\uB2E4. \uC774 \uAE30\uC220\uC740 \uAE30\uC5C5\uB4E4\uC5D0\uAC8C \uB2E8\uC21C\uD55C \uAC70\uB798\uCC98\uB9AC\uB97C \uB118\uC5B4\uC120 \uC815\uBCF4\uC758 \uD65C\uC6A9 \uAC00\uB2A5\uC131\uC744 \uBCF4\uC5EC\uC8FC\uC5C8\uACE0, \uC774\uB97C \uACC4\uAE30\uB85C \uC801\uADF9\uC801\uC778 \uB370\uC774\uD130\uC758 \uD65C\uC6A9\uC744 \uD1B5\uD55C \uC758\uC0AC\uACB0\uC815\uC758 \uC911\uC694\uC131\uC774 \uAC15\uC870\uB418\uC5C8\uB2E4. OLAP\uB780 \uCD5C\uC885 \uC0AC\uC6A9\uC790\uAC00 \uB2E4\uCC28\uC6D0 \uC815\uBCF4\uC5D0 \uC9C1\uC811 \uC811\uADFC\uD558\uC5EC \uB300\uD654\uC2DD\uC73C\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC5D0 \uD65C\uC6A9\uD558\uB294 \uACFC\uC815\uC5D0\uC11C \uB4F1\uC7A5\uD558\uC600\uB2E4. \uC0AC\uC6A9\uC790\uB294 \uC628\uB77C\uC778\uC0C1\uC5D0\uC11C \uC9C1\uC811 \uB370\uC774\uD130\uC5D0 \uC811\uADFC\uD558\uBA70, \uB300\uD654\uC2DD\uC73C\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uBBC0\uB85C \uC0AC\uC6A9\uC790\uAC00 \uAE30\uC5C5\uC758 \uC804\uBC18\uC801\uC778 \uC0C1\uD669\uC744 \uC774\uD574\uD560 \uC218 \uC788\uAC8C \uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC744 \uC9C0\uC6D0\uD558\uB294 \uB370 \uADF8 \uBAA9\uC801\uC774 \uC788\uB2E4\uACE0 \uD560 \uC218 \uC788\uB2E4."@ko . . . "Online analytical processing"@pl . . . "Online Analytical Processing atau disingkat OLAP adalah sebuah pendekatan secara cepat menyediakan jawaban-jawaban terhadap kueri analitik yang multidimensi di dalam alam. OLAP adalah bagian dari kategori yang lebih global dari pemikiran bisnis, yang juga merangkum hubungan antara pelaporan dan penggalian data. Aplikasi khusus dari OLAP adalah pelaporan bisnis untuk penjualan, pemasaran, manajemen pelaporan, manajemen proses bisnis (MPB), penganggaran dan peramalan, laporan keuangan dan bidang-bidang yang serupa. Istilah OLAP merupakan perampingan dari istilah lama database OLTP (Online Transaction Processing)."@in . . . . . . . "Online analytical processing"@en . . . . "En informatique, et plus particuli\u00E8rement dans le domaine des bases de donn\u00E9es, le traitement analytique en ligne (anglais online analytical processing, OLAP) est un type d'application informatique orient\u00E9 vers l'analyse sur-le-champ d'informations selon plusieurs axes, dans le but d'obtenir des rapports de synth\u00E8se tels que ceux utilis\u00E9s en analyse financi\u00E8re. Les applications de type OLAP sont couramment utilis\u00E9es en informatique d\u00E9cisionnelle, dans le but d'aider la direction \u00E0 avoir une vue transversale de l'activit\u00E9 d'une entreprise."@fr . "Online Analytical Processing atau disingkat OLAP adalah sebuah pendekatan secara cepat menyediakan jawaban-jawaban terhadap kueri analitik yang multidimensi di dalam alam. OLAP adalah bagian dari kategori yang lebih global dari pemikiran bisnis, yang juga merangkum hubungan antara pelaporan dan penggalian data. Aplikasi khusus dari OLAP adalah pelaporan bisnis untuk penjualan, pemasaran, manajemen pelaporan, manajemen proses bisnis (MPB), penganggaran dan peramalan, laporan keuangan dan bidang-bidang yang serupa. Istilah OLAP merupakan perampingan dari istilah lama database OLTP (Online Transaction Processing). Database yg dikonfigurasikan untuk pelayanan OLAP model data multidimensi, bisa digunakan untuk analisis komplek dan kueri khusus (ad hoc) dengan suatu laju waktu eksekusi. Mereka meminjam aspek database navigasi dan database hierarki yang lebih cepat daripada yang sefamilinya. menyarankan suatu alternatif dan mungkin istilahnya lebih deskriptif yang menjelaskan bahwa konsep OLAP adalah Analisis Cepat dari Informasi Multidimensi yang dapat di-sharing (FASMI) Keluaran dari kueri OLAP ditampilkan secara khusus dalam format matrik atau pivot. Dimensinya membentuk baris berupa ukuran dan kolom berupa nilai dari matrik."@in . . . "OLAP \u00E9s l'acr\u00F2nim en angl\u00E8s de processament anal\u00EDtic en l\u00EDnia (online analytical processing). \u00C9s una soluci\u00F3 que subministra respostes r\u00E0pides de consultes a una base de dades. Es fa servir en informes de qualsevol \u00E0rea de l'empresa: vendes, m\u00E0rketing, compres, direcci\u00F3, etc. Existeixen algunes classificacions d'OLAP: \n* ROLAP \u00E9s un OLAP creat sobre una base de dades relacional \n* MOLAP \u00E9s un OLAP creat sobre una \n* HOLAP (Hybrid OLAP) S'utilitzen les parts fortes que ofereix ROLAP, i tamb\u00E9 les que ofereix MOLAP."@ca . "\uC628\uB77C\uC778 \uBD84\uC11D \uCC98\uB9AC(Online Analytical Processing, OLAP)\uB294 \uC758\uC0AC\uACB0\uC815 \uC9C0\uC6D0 \uC2DC\uC2A4\uD15C \uAC00\uC6B4\uB370 \uB300\uD45C\uC801\uC778 \uC608\uB85C, \uC0AC\uC6A9\uC790\uAC00 \uB3D9\uC77C\uD55C \uB370\uC774\uD130\uB97C \uC5EC\uB7EC \uAE30\uC900\uC744 \uC774\uC6A9\uD558\uB294 \uB2E4\uC591\uD55C \uBC29\uC2DD\uC73C\uB85C \uBC14\uB77C\uBCF4\uBA74\uC11C \uB2E4\uCC28\uC6D0 \uB370\uC774\uD130 \uBD84\uC11D\uC744 \uD560 \uC218 \uC788\uB3C4\uB85D \uB3C4\uC640\uC900\uB2E4. OLAP\uB294 1993\uB144 \uC5D0\uB4DC\uAC70 F. \uCEE4\uB4DC\uC5D0 \uC758\uD574 \uCC98\uC74C \uC81C\uC548\uB41C \uAC83\uC73C\uB85C, \uADF8\uB294 OLAP\uC744 \uC0AC\uC6A9\uC790\uAC00 \uB2E4\uCC28\uC6D0 \uC815\uBCF4\uC5D0 \uC9C1\uC811 \uC811\uADFC\uD558\uC5EC \uB300\uD654 \uD615\uD0DC\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC5D0 \uD65C\uC6A9\uD558\uB294 \uACFC\uC815\uC774\uB77C\uACE0 \uC815\uC758\uD558\uC600\uB2E4. \uC774 \uAE30\uC220\uC740 \uAE30\uC5C5\uB4E4\uC5D0\uAC8C \uB2E8\uC21C\uD55C \uAC70\uB798\uCC98\uB9AC\uB97C \uB118\uC5B4\uC120 \uC815\uBCF4\uC758 \uD65C\uC6A9 \uAC00\uB2A5\uC131\uC744 \uBCF4\uC5EC\uC8FC\uC5C8\uACE0, \uC774\uB97C \uACC4\uAE30\uB85C \uC801\uADF9\uC801\uC778 \uB370\uC774\uD130\uC758 \uD65C\uC6A9\uC744 \uD1B5\uD55C \uC758\uC0AC\uACB0\uC815\uC758 \uC911\uC694\uC131\uC774 \uAC15\uC870\uB418\uC5C8\uB2E4. OLAP\uB780 \uCD5C\uC885 \uC0AC\uC6A9\uC790\uAC00 \uB2E4\uCC28\uC6D0 \uC815\uBCF4\uC5D0 \uC9C1\uC811 \uC811\uADFC\uD558\uC5EC \uB300\uD654\uC2DD\uC73C\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC5D0 \uD65C\uC6A9\uD558\uB294 \uACFC\uC815\uC5D0\uC11C \uB4F1\uC7A5\uD558\uC600\uB2E4. \uC0AC\uC6A9\uC790\uB294 \uC628\uB77C\uC778\uC0C1\uC5D0\uC11C \uC9C1\uC811 \uB370\uC774\uD130\uC5D0 \uC811\uADFC\uD558\uBA70, \uB300\uD654\uC2DD\uC73C\uB85C \uC815\uBCF4\uB97C \uBD84\uC11D\uD558\uBBC0\uB85C \uC0AC\uC6A9\uC790\uAC00 \uAE30\uC5C5\uC758 \uC804\uBC18\uC801\uC778 \uC0C1\uD669\uC744 \uC774\uD574\uD560 \uC218 \uC788\uAC8C \uD558\uACE0 \uC758\uC0AC\uACB0\uC815\uC744 \uC9C0\uC6D0\uD558\uB294 \uB370 \uADF8 \uBAA9\uC801\uC774 \uC788\uB2E4\uACE0 \uD560 \uC218 \uC788\uB2E4."@ko . . . . . . "OLAP\uFF08\u30AA\u30FC\u30E9\u30C3\u30D7\uFF09\u306F\u3001\u8907\u96D1\u3067\u5206\u6790\u7684\u306A\u554F\u3044\u5408\u308F\u305B\u306B\u7D20\u65E9\u304F\u56DE\u7B54\u3092\u884C\u3046\u65B9\u6CD5\u3002\u30D3\u30B8\u30CD\u30B9\u30A4\u30F3\u30C6\u30EA\u30B8\u30A7\u30F3\u30B9\u3068\u547C\u3070\u308C\u308B\u3088\u308A\u5927\u304D\u306A\u30AB\u30C6\u30B4\u30EA\u306B\u5C5E\u3057\u3066\u3044\u308B\u3002 OLAP\u306E\u5178\u578B\u7684\u306A\u7528\u9014\u306F\u58F2\u4E0A\u5831\u544A\u3001\u5E02\u5834\u5206\u6790\u3001\u7D4C\u55B6\u5831\u544A\u3001\u30D3\u30B8\u30CD\u30B9\u696D\u7E3E\u7BA1\u7406\uFF08BPM\uFF09\u3001\u4E88\u7B97\u4F5C\u6210\u3001\u8A08\u753B\u4F5C\u6210\u3001\u8CA1\u52D9\u8AF8\u8868\u4F5C\u6210\u306A\u3069\u3067\u3042\u308B\u3002OnLine Analytical Processing\u306E\u982D\u6587\u5B57\u3092\u7565\u3057\u305F\u8A9E\u3067\u3042\u308A\u3001\u65E5\u672C\u8A9E\u3067\u306F\u30AA\u30F3\u30E9\u30A4\u30F3\u5206\u6790\u51E6\u7406\u3082\u3057\u304F\u306F\u591A\u6B21\u5143\u5206\u6790\u3068\u3082\u547C\u3070\u308C\u308B\u3002 OLAP\u306E\u4E3B\u306A\u7279\u5FB4\u306F\u4EE5\u4E0B\u306E\u70B9\u306B\u3042\u308B\u3002 \n* \uFF08\u95A2\u4FC2\u30E2\u30C7\u30EB\u3067\u306F\u306A\u304F\uFF09\u591A\u6B21\u5143\u30C7\u30FC\u30BF\u30E2\u30C7\u30EB\u3092\u64CD\u4F5C\u3059\u308B\u3053\u3068 \n* \u8907\u96D1\u3001\u5206\u6790\u7684\u3067\u305D\u306E\u5834\u306B\u5FDC\u3058\u305F\u554F\u3044\u5408\u308F\u305B\u3092\u884C\u3048\u308B\u3053\u3068 \n* \u975E\u5E38\u306B\u9AD8\u901F\uFF08\u901A\u5E38\u306F5\u79D2\u4EE5\u5185\u306B\u7D50\u679C\u3092\u8FD4\u3059\uFF09\u3067\u3042\u308B\u3053\u3068 \u3053\u306E\u3088\u3046\u306A\u7406\u7531\u304B\u3089\u3001\u306FOLAP\u306E\u30B3\u30F3\u30BB\u30D7\u30C8\u3092\u3088\u308A\u6B63\u78BA\u306B\u8868\u3059\u8A00\u8449\u3068\u3057\u3066FASMI\uFF08Fast Analysis of Shared Multidimensional Information\uFF09\u3092\u63D0\u5531\u3057\u3066\u3044\u308B\u3002"@ja . "Online Analytical Processing"@de . "OLAP (Online Analytical Processing) \u00E9 a capacidade para manipular e analisar um grande volume de dados sob m\u00FAltiplas perspectivas. As aplica\u00E7\u00F5es OLAP s\u00E3o usadas pelos gestores em qualquer n\u00EDvel da organiza\u00E7\u00E3o para lhes permitir an\u00E1lises comparativas que facilitem a sua tomada de decis\u00F5es di\u00E1rias. A arquitetura OLAP possui ferramentas que s\u00E3o classificadas em cinco tipos que s\u00E3o: ROLAP, MOLAP, HOLAP, DOLAP e WOLAP (al\u00E9m de )."@pt . "OLAP"@es . . "Online Analytical Processing (OLAP) wird neben dem Data-Mining zu den Methoden der analytischen Informationssysteme gez\u00E4hlt. OLAP wird weiterhin den hypothesengest\u00FCtzten Analysemethoden zugeordnet. Der Analyst muss vor der eigentlichen Untersuchung wissen, welche Anfragen er an das OLAP-System stellen m\u00F6chte. Seine Hypothese wird dann durch das Analyseergebnis best\u00E4tigt oder widerlegt. OLAP-Systeme bilden in diesem Zusammenhang oft die technologische Grundlage f\u00FCr aktuelle Business-Intelligence-Anwendungen. Typische Einsatzszenarien f\u00FCr entsprechende OLAP-Systeme sind u. a. das Berichtswesen und Analyse, aber auch Planung und Budgetierung in folgenden Bereichen: Controlling, Finanzabteilungen, Vertrieb, Produktion, Personal und Management Unternehmenssteuerung. OLAP-Systeme beziehen ihre Daten entweder aus den operationalen Datenbest\u00E4nden eines Unternehmens oder aus einem Data-Warehouse (Datenlager). Der Einsatz eines Data-Warehouse verhindert, dass die Analysedaten mit den transaktionsorientierten Datenbest\u00E4nden in Kontakt kommen und die Leistungsf\u00E4higkeit beeintr\u00E4chtigt wird. Ebenso ist die Leistung eines OLAP-Systems von der verwendeten Datenhaltungsform und deren Anbindung an den Analyse-Client abh\u00E4ngig. Im Gegensatz zum Online Transaction Processing (OLTP) steht hier die Durchf\u00FChrung komplexer Analysevorhaben im Vordergrund, welche ein sehr hohes Datenaufkommen verursachen. Das Ziel ist, durch multidimensionale Betrachtung dieser Daten ein entscheidungsunterst\u00FCtzendes Analyseergebnis zu gewinnen. Als besondere Zielgruppe wird hier das Management in seiner Rolle als Entscheidungstr\u00E4ger genannt. Die OLAP zugrunde liegende Struktur ist ein OLAP-W\u00FCrfel (englisch cube), der aus der operationalen Datenbank erstellt wurde. Dieser folgt einer multidimensionalen, datenpunktorientierten Logik im Gegensatz zur zeilenorientierten Logik beim OLTP."@de . "Online Analytical Processing, eller OLAP, \u00E4r en teknik f\u00F6r att ge snabba exekveringar och returer p\u00E5 flerdimensionella databass\u00F6kningar. OLAP-kuben, alternativt kallad multidimensionell kub eller hypercube, \u00E4r OLAP:s k\u00E4rna. Denna databasrelaterade artikel saknar v\u00E4sentlig information. Du kan hj\u00E4lpa till genom att l\u00E4gga till den."@sv . . . . . . "\u8054\u673A\u5206\u6790\u5904\u7406\uFF08\u82F1\u8A9E\uFF1AOnline analytical processing\uFF09\uFF0C\u7B80\u79F0OLAP (/\u02C8o\u028Al\u00E6p/)\uFF0C\u662F\u8BA1\u7B97\u673A\u6280\u672F\u4E2D\u5FEB\u901F\u89E3\u51B3\uFF08MDA\uFF09\u7684\u4E00\u79CD\u65B9\u6CD5\u3002 OLAP\u662F\u66F4\u5E7F\u6CDB\u7684\u5546\u4E1A\u667A\u80FD\u8303\u7574\u7684\u4E00\u90E8\u5206\uFF0C\u5B83\u8FD8\u5305\u62EC\u5173\u7CFB\u6570\u636E\u5E93\u3001\u62A5\u544A\u7F16\u5199\u548C\u6570\u636E\u6316\u6398\u3002 OLAP\u7684\u5178\u578B\u5E94\u7528\u5305\u62EC\u9500\u552E\u3001\u5E02\u573A\u8425\u9500\u3001\u7BA1\u7406\u62A5\u544A\u3001\u4E1A\u52A1\u6D41\u7A0B\u7BA1\u7406\uFF08BPM\uFF09\u3001\u9810\u7B97\u548C\u9884\u6D4B\u3001\u8CA1\u52D9\u5831\u8868\u4EE5\u53CA\u7C7B\u4F3C\u9886\u57DF\uFF0C\u65B0\u7684\u5E94\u7528\u6B63\u5728\u51FA\u73B0\uFF0C\u5982\u519C\u4E1A\u3002 \u672F\u8BED\u201COLAP\u201D\u662F\u5BF9\u4F20\u7EDF\u6570\u636E\u5E93\u672F\u8BED\u201C\u8054\u673A\u4E8B\u52A1\u5904\u7406\u201D\uFF08OLTP\uFF09\u7A0D\u5FAE\u4FEE\u6539\u800C\u6210\u7684\u3002 OLAP\u5DE5\u5177\u8BA9\u7528\u6237\u80FD\u591F\u4ECE\u591A\u4E2A\u89D2\u5EA6\u4EA4\u4E92\u5730\u5206\u6790\u591A\u7EF4\u6570\u636E\u3002OLAP\u7531\u4E09\u4E2A\u57FA\u672C\u7684\u5206\u6790\u64CD\u4F5C\u7EC4\u6210\uFF1A\u4E0A\u5377\uFF08roll-up\uFF09\u3001\u94BB\u53D6\uFF08drill-down\uFF09\u3001\u5207\u7247\uFF08slicing\uFF09\u548C\u5207\u5757\uFF08dicing\uFF09\u3002 \u4E0A\u5377\u6D89\u53CA\u53EF\u4EE5\u5728\u4E00\u4E2A\u6216\u591A\u4E2A\u7EF4\u5EA6\u4E2D\u7D2F\u79EF\u548C\u8BA1\u7B97\u7684\u6570\u636E\u7684\u805A\u5408\u3002\u4F8B\u5982\uFF0C\u6240\u6709\u7684\u9500\u552E\u529E\u4E8B\u5904\u6C47\u603B\u5230\u9500\u552E\u90E8\u95E8\uFF0C\u4EE5\u9884\u6D4B\u9500\u552E\u8D8B\u52BF\u3002\u76F8\u6BD4\u4E4B\u4E0B\uFF0C\u94BB\u53D6\u662F\u4E00\u79CD\u5141\u8BB8\u7528\u6237\u6D4F\u89C8\u8BE6\u7EC6\u4FE1\u606F\u7684\u6280\u672F\u3002\u4F8B\u5982\uFF0C\u7528\u6237\u53EF\u4EE5\u67E5\u770B\u7EC4\u6210\u4E00\u4E2A\u5730\u533A\u9500\u552E\u989D\u7684\u5355\u4E2A\u4EA7\u54C1\u7684\u9500\u552E\u989D\u3002\u5207\u7247\u548C\u5207\u5757\u662F\u8BF4\uFF0C\u7528\u6237\u53EF\u4EE5\u4ECEOLAP\u591A\u7EF4\u6570\u636E\u96C6\u4E2D\u53D6\u51FA\uFF08\u5207\u7247\uFF09\u4E00\u7EC4\u7279\u5B9A\u7684\u6570\u636E\uFF0C\u5E76\u4ECE\u4E0D\u540C\u7684\u89D2\u5EA6\u67E5\u770B\uFF08\u5207\u5757\uFF09\u5207\u7247\u3002\u8FD9\u4E9B\u89D2\u5EA6\u6709\u65F6\u88AB\u79F0\u4E3A\u7EF4\u5EA6\uFF08\u4F8B\u5982\u6309\u9500\u552E\u4EBA\u5458\u3001\u6309\u65E5\u671F\u3001\u6309\u5BA2\u6237\u3001\u6309\u4EA7\u54C1\u6216\u6309\u5730\u533A\u67E5\u770B\u76F8\u540C\u7684\u9500\u552E\u60C5\u51B5\u7B49\uFF09\u3002 \u4E3AOLAP\u914D\u7F6E\u7684\u6570\u636E\u5E93\u4F7F\u7528\u591A\u7EF4\u6570\u636E\u6A21\u578B\uFF0C\u5141\u8BB8\u5FEB\u901F\u6267\u884C\u590D\u6742\u7684\u5206\u6790\u67E5\u8BE2\u548C\u5373\u5E2D\u67E5\u8BE2\u3002 \u5B83\u4EEC\u501F\u9274\u4E86\u3001\u5C42\u6B21\u578B\u6570\u636E\u5E93\u548C\u5173\u7CFB\u578B\u6570\u636E\u5E93\u7684\u5404\u4E2A\u65B9\u9762\u3002"@zh . . . . "OLAP \u00E9s l'acr\u00F2nim en angl\u00E8s de processament anal\u00EDtic en l\u00EDnia (online analytical processing). \u00C9s una soluci\u00F3 que subministra respostes r\u00E0pides de consultes a una base de dades. Es fa servir en informes de qualsevol \u00E0rea de l'empresa: vendes, m\u00E0rketing, compres, direcci\u00F3, etc. La ra\u00F3 de fer servir OLAP per a les consultes \u00E9s la velocitat de resposta. Una base de dades relacional emmagatzema entitats en taules discretes si han estat normalitzades. Aquesta estructura \u00E9s bona en un sistema (online transaction processing) per\u00F2 per consultes complexes multitaula \u00E9s relativament lenta. Un model millor per a cerques, encara que pitjor des del punt de vista operatiu, \u00E9s una .La principal caracter\u00EDstica que potencia l'OLAP, \u00E9s que \u00E9s el m\u00E9s r\u00E0pid a l'hora de fer seleccions, en contraposici\u00F3 amb OLTP que \u00E9s la millor opci\u00F3 per a inserir, actualitzar i esborrar dades. Existeixen algunes classificacions d'OLAP: \n* ROLAP \u00E9s un OLAP creat sobre una base de dades relacional \n* MOLAP \u00E9s un OLAP creat sobre una \n* HOLAP (Hybrid OLAP) S'utilitzen les parts fortes que ofereix ROLAP, i tamb\u00E9 les que ofereix MOLAP."@ca . . . . . . . . . . "1112115325"^^ . . . . . . . . . . . . "\uC628\uB77C\uC778 \uBD84\uC11D \uCC98\uB9AC"@ko . . . . "Online Analytical Processing"@sv . . . . . . . . "Traitement analytique en ligne"@fr . "En informatique, et plus particuli\u00E8rement dans le domaine des bases de donn\u00E9es, le traitement analytique en ligne (anglais online analytical processing, OLAP) est un type d'application informatique orient\u00E9 vers l'analyse sur-le-champ d'informations selon plusieurs axes, dans le but d'obtenir des rapports de synth\u00E8se tels que ceux utilis\u00E9s en analyse financi\u00E8re. Les applications de type OLAP sont couramment utilis\u00E9es en informatique d\u00E9cisionnelle, dans le but d'aider la direction \u00E0 avoir une vue transversale de l'activit\u00E9 d'une entreprise. Ce type d'application s'oppose au traitement de transactions en ligne (anglais online transaction processing abr. OLTP) qui s'inscrit dans un syst\u00E8me op\u00E9rationnel, c'est-\u00E0-dire destin\u00E9 aux m\u00E9tiers de l\u2019entreprise pour les assister dans leurs t\u00E2ches de gestion."@fr . . . . . . "OLAP"@ru . . . "Online Analytical Processing, eller OLAP, \u00E4r en teknik f\u00F6r att ge snabba exekveringar och returer p\u00E5 flerdimensionella databass\u00F6kningar. OLAP-kuben, alternativt kallad multidimensionell kub eller hypercube, \u00E4r OLAP:s k\u00E4rna. Denna databasrelaterade artikel saknar v\u00E4sentlig information. Du kan hj\u00E4lpa till genom att l\u00E4gga till den."@sv . . "189239"^^ . "Online Analytical Processing (OLAP) wird neben dem Data-Mining zu den Methoden der analytischen Informationssysteme gez\u00E4hlt. OLAP wird weiterhin den hypothesengest\u00FCtzten Analysemethoden zugeordnet. Der Analyst muss vor der eigentlichen Untersuchung wissen, welche Anfragen er an das OLAP-System stellen m\u00F6chte. Seine Hypothese wird dann durch das Analyseergebnis best\u00E4tigt oder widerlegt. OLAP-Systeme bilden in diesem Zusammenhang oft die technologische Grundlage f\u00FCr aktuelle Business-Intelligence-Anwendungen. Typische Einsatzszenarien f\u00FCr entsprechende OLAP-Systeme sind u. a. das Berichtswesen und Analyse, aber auch Planung und Budgetierung in folgenden Bereichen: Controlling, Finanzabteilungen, Vertrieb, Produktion, Personal und Management Unternehmenssteuerung."@de . "OLAP (\u0430\u043D\u0433\u043B. online analytical processing, \u0430\u043D\u0430\u043B\u0456\u0442\u0438\u0447\u043D\u0430 \u043E\u0431\u0440\u043E\u0431\u043A\u0430 \u0443 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C\u0443 \u0447\u0430\u0441\u0456) \u2014 \u0446\u0435 \u0456\u043D\u0442\u0435\u0440\u0430\u043A\u0442\u0438\u0432\u043D\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0449\u043E \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u0454 \u043F\u0435\u0440\u0435\u0433\u043B\u044F\u0434\u0430\u0442\u0438 \u0440\u0456\u0437\u043D\u0456 \u043F\u0456\u0434\u0441\u0443\u043C\u043A\u0438 \u043F\u043E \u0431\u0430\u0433\u0430\u0442\u043E\u0432\u0438\u043C\u0456\u0440\u043D\u0438\u0445 \u0434\u0430\u043D\u0438\u0445. \u0422\u0435\u0440\u043C\u0456\u043D \"\u0432 \u0440\u0435\u0430\u043B\u044C\u043D\u043E\u043C\u0443 \u0447\u0430\u0441\u0456\" (\u0430\u043D\u0433\u043B. online) \u043E\u0437\u043D\u0430\u0447\u0430\u0454 \u0449\u043E \u043D\u043E\u0432\u0456 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442\u0438 \u043E\u0442\u0440\u0438\u043C\u0443\u044E\u0442\u044C\u0441\u044F \u043F\u0440\u043E\u0442\u044F\u0433\u043E\u043C \u0441\u0435\u043A\u0443\u043D\u0434, \u0431\u0435\u0437 \u0434\u043E\u0432\u0433\u043E\u0433\u043E \u043E\u0447\u0456\u043A\u0443\u0432\u0430\u043D\u043D\u044F \u043D\u0430 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \u0437\u0430\u043F\u0438\u0442\u0443."@uk . . .