{"id":112750,"date":"2021-06-16T06:02:29","date_gmt":"2021-06-16T06:02:29","guid":{"rendered":"https:\/\/www.healthbenefitstimes.com\/glossary\/?p=112750"},"modified":"2021-06-16T06:02:29","modified_gmt":"2021-06-16T06:02:29","slug":"online-analytical-processing","status":"publish","type":"post","link":"https:\/\/www.healthbenefitstimes.com\/glossary\/online-analytical-processing\/","title":{"rendered":"Online analytical processing"},"content":{"rendered":"<p>Computer software which uses multi-dimensional databases and thus provides more detailed analyses and greater analytical speed than formerly possible. OLAP is distinguished from &#8220;Online Transaction Processing (OLTP)&#8221;, which typically uses relational databases which are characterized as being two-dimensional (rows and columns). OLTP software supports many users who are adding, editing, and removing individual records in a database, one record at a time. To do a query in this context involves searching many individual records, which could bring even a powerful computer to a standstill if it involved many millions of records. OLAP, on the other hand, tends to deal with data which is already summarized in such a way as to support what is known as &#8220;multidimensional data analysis&#8221;. By pre-digesting or &#8220;consolidating&#8221; the values contained in many separate records and storing the results back into the database, there is now a third dimension (time, or &#8220;trend&#8221;) to the database that allows a much faster response time, now matter how large the database has become. While the standard database language for two-dimensional, relational databases is Structured Query Language (SQL), OLAP databases will require a new language, possibly called MDSQL, for multi-dimensional structured query language.<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computer software which uses multi-dimensional databases and thus provides more detailed analyses and greater analytical speed than formerly possible. OLAP is distinguished from &#8220;Online Transaction Processing (OLTP)&#8221;, which typically uses relational databases which are characterized as being two-dimensional (rows and columns). OLTP software supports many users who are adding, editing, and removing individual records in [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-112750","post","type-post","status-publish","format-standard","hentry","category-a"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Online analytical processing - Definition of Online analytical processing<\/title>\n<meta name=\"description\" content=\"Computer software which uses multi-dimensional databases and thus provides more detailed analyses and greater analytical speed than formerly possible. OLAP is distinguished from &quot;Online Transaction Processing (OLTP)&quot;, which typically uses relational databases which are characterized as being two-dimensional (rows and columns). OLTP software supports many users who are adding, editing, and removing individual records in a database, one record at a time. To do a query in this context involves searching many individual records, which could bring even a powerful computer to a standstill if it involved many millions of records. OLAP, on the other hand, tends to deal with data which is already summarized in such a way as to support what is known as &quot;multidimensional data analysis&quot;. By pre-digesting or &quot;consolidating&quot; the values contained in many separate records and storing the results back into the database, there is now a third dimension (time, or &quot;trend&quot;) to the database that allows a much faster response time, now matter how large the database has become. While the standard database language for two-dimensional, relational databases is Structured Query Language (SQL), OLAP databases will require a new language, possibly called MDSQL, for multi-dimensional structured query language.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.healthbenefitstimes.com\/glossary\/online-analytical-processing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Online analytical processing - Definition of Online analytical processing\" \/>\n<meta property=\"og:description\" content=\"Computer software which uses multi-dimensional databases and thus provides more detailed analyses and greater analytical speed than formerly possible. OLAP is distinguished from &quot;Online Transaction Processing (OLTP)&quot;, which typically uses relational databases which are characterized as being two-dimensional (rows and columns). OLTP software supports many users who are adding, editing, and removing individual records in a database, one record at a time. To do a query in this context involves searching many individual records, which could bring even a powerful computer to a standstill if it involved many millions of records. OLAP, on the other hand, tends to deal with data which is already summarized in such a way as to support what is known as &quot;multidimensional data analysis&quot;. By pre-digesting or &quot;consolidating&quot; the values contained in many separate records and storing the results back into the database, there is now a third dimension (time, or &quot;trend&quot;) to the database that allows a much faster response time, now matter how large the database has become. While the standard database language for two-dimensional, relational databases is Structured Query Language (SQL), OLAP databases will require a new language, possibly called MDSQL, for multi-dimensional structured query language.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.healthbenefitstimes.com\/glossary\/online-analytical-processing\/\" \/>\n<meta property=\"og:site_name\" content=\"Glossary\" \/>\n<meta property=\"article:published_time\" content=\"2021-06-16T06:02:29+00:00\" \/>\n<meta name=\"author\" content=\"Glossary\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Glossary\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.healthbenefitstimes.com\/glossary\/online-analytical-processing\/\",\"url\":\"https:\/\/www.healthbenefitstimes.com\/glossary\/online-analytical-processing\/\",\"name\":\"Online analytical processing - Definition of Online analytical processing\",\"isPartOf\":{\"@id\":\"https:\/\/www.healthbenefitstimes.com\/glossary\/#website\"},\"datePublished\":\"2021-06-16T06:02:29+00:00\",\"dateModified\":\"2021-06-16T06:02:29+00:00\",\"author\":{\"@id\":\"https:\/\/www.healthbenefitstimes.com\/glossary\/#\/schema\/person\/ccfef987a4882e6356ae6d77d33e74c5\"},\"description\":\"Computer software which uses multi-dimensional databases and thus provides more detailed analyses and greater analytical speed than formerly possible. 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