OLAP, Data Marts and Warehouses, Three-Tier Architecture and ASP :: essays research papers

WEEK 4 INDIVIDUAL PAPEROLAP, DATA MARTS AND WAREHOUSES, THREE-TIER ARCHITECTURE AND aspDBM405OLAP, Data Marts and Warehouses, Three-Tier Architecture and ASPOLAPThe term OLAP stands for On-Line Analytical Processing. OLAP is a technology used to process data a high performance level for analysis and shared in a multidimensional cube of information. The key thing that wholly OLAP products have in common is multidimensionality, but that is not the only requirement for an OLAP product. An OLAP natural covering is tar finded to deliver most responses to users within about five seconds, with the simplest analyses taking no more than one second and very few taking more than 20 seconds. Impatient users often assume that a process has failed if results are not received with 30 seconds, and they are apt to implement the 3 finger cost or Alt+Ctrl+Delete unless the system warns them that the report will take longer. Even if they have been warned that it will take significantly longer, use rs are likely to get distracted and lose their chain of thought, so the quality of analysis suffers. This speed is not easy to achieve with large amounts of data, particularly if on-the-fly and ad hoc calculations are required. A wide variety of techniques are used to achieve this goal, including specialized forms of data storage, extensive pre-calculations and specific hardware requirements, but a lot of products are provided fully optimized, so we expect this to be an area of developing technology. In particular, the SAP Business Warehouse is a full pre-calculation approach that fails as the databases hardly get too. Likewise, doing everything on-the-fly is much too slow with large databases, even if the most expensive server is used. Slow query response is consistently the most often-cited practiced problem with OLAP products.OLAP is used for mainly for analysis. This means that the system copes with any business logic and statistical analysis that is relevant for the applicat ion and the user, and keep it easy plenteous for the target user. This analysis is done in the applications own engine or in a linked external product such(prenominal) as a spreadsheet. All the required analysis functionality can be provided in an intuitive manner for the target users. This could include specific features like clipping series analysis, cost allocations, currency translation, goal seeking, ad hoc multidimensional structural changes, non-procedural modeling, exception alerting, data mining and other application dependent features. The OLAP system implements all the security requirements for confidentiality.