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The result is the "measure"; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers both data efficiency of the ROLAP model and the performance of the MOLAP model.</li><li><span style=\"font-weight: bold;\">Desktop OLAP (DOLAP):</span> In Desktop OLAP system, a user downloads a part of the data from the database locally, or on their desktop and analyze it. DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP tools.</li><li><span style=\"font-weight: bold;\">Web based OLAP (WOLAP):</span> Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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Dimensions are then populated by members (such as customer names, countries and months) that are organized hierarchically.\r\nAnalysts can then perform five types of online analytical processing system operations against these multidimensional databases: \r\n<ol><li><span style=\"font-weight: bold; \">Roll-up.</span> Also known as consolidation, or drill-up, this operation summarizes the data along the dimension.</li><li><span style=\"font-weight: bold; \">Drill-down.</span> This allows analysts to navigate deeper among the dimensions of data, for example drilling down from "time period" to "years" and "months" to chart sales growth for a product.</li><li><span style=\"font-weight: bold; \">Slice. </span>This enables an analyst to take one level of information for display</li><li><span style=\"font-weight: bold; \">Dice. </span>This allows an analyst to select data from multiple dimensions to analyze</li><li><span style=\"font-weight: bold; \">Pivot.</span> Analysts can gain a new view of data by rotating the data axes of the cube.</li></ol>\r\nOLAP software then locates the intersection of dimensions, such as all products sold in the Eastern region above a certain price during a certain time period, and displays them. The result is the "measure"; each OLAP cube has at least one to perhaps hundreds of measures, which are derived from information stored in fact tables in the data warehouse.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Types of OLAP: </span></p>\r\n<ul><li><span style=\"font-weight: bold;\">Relational online analytical processing (ROLAP):</span> ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.</li><li><span style=\"font-weight: bold;\">Multidimensional OLAP (MOLAP):</span> MOLAP Implementes operation in multidimensional data.</li><li><span style=\"font-weight: bold;\">Hybrid OnlineAnalytical Processing (HOLAP):</span> In HOLAP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. 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It consists of three components: client, middleware, and a database server.</li><li><span style=\"font-weight: bold;\">Mobile OLAP:</span> Mobile OLAP process helps users to access and analyze OLAP data using their mobile devices</li><li><span style=\"font-weight: bold;\">Spatial OLAP:</span> SOLAP is created to facilitate management of both spatial and non-spatial data in a Geographic Information system (GIS) </li></ul>","materialsDescription":"<h1 class=\"align-center\">Implementing an OLAP Solution</h1>\r\nImplementation of OLAP depends not only on the type of software, but also on underlying data sources and the intended business objective(s). Each industry or business area is specific and requires some degree of customized modeling to create multidimensional “cubes” for data loading and reporting building, at minimum. An OLAP program might be intended for dynamic reporting for finance professionals, with source data originating in an ERP system. Or a solution might address a medical institution’s activities as concerns patient analysis. All of which is to say that customers need to have clear objectives in mind for an intended solution, and start to consider product selection on that basis. Another factor to consider in an OLAP implementation is the delivery to end users: does the initial user base want to adopt a new front end, or is there a preference for utilizing a dashboard? Or perhaps users are better served by a dynamic spreadsheet “delivery” system to achieve, for example, a collaborative budgeting and forecasting solution.\r\n<h1 class=\"align-center\">Advantages and Disadvantages of OLAP</h1>\r\n<p class=\"align-left\"><span style=\"font-weight: bold;\">Advantages</span></p>\r\n<ul><li>OLAP is a platform for all type of business includes planning, budgeting, reporting, and analysis.</li><li>Information and calculations are consistent in an OLAP cube. 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