Multi dimensional Data Model. Data warehouses and OLAP tools are based on a multidimensional data model. This model views data in the form of a data cube. The multidimensional data model is composed of some basic elements like logical cubes, measures, dimensions, hierarchies, levels, and attributes. A cube is a logical organization of multidimensional data.
Data Warehouse Case Study
Data Design Case Study : research data warehouse.
Data warehouse is the data base, which is created for the reporting and business analysis for the decision making in the organization. The information, which comes into the data base as a rule is available only for reading. The data is copied into the system in such a way to avoid any problematic situations with the analysis of the information and not to disturb the stability of the data base. As a rule, the information is put into the data base periodically, that is why its relevance can lag behind the online transaction processing system.
Case study – Continental Airlines
Background: Existing hospital information systems with simple statistical functions cannot meet current management needs. It is well known that hospital resources are distributed with private property rights among hospitals, such as in the case of the regional coordination of medical services. In this study, to integrate and make full use of medical data effectively, we propose a data warehouse modeling method for the hospital information system. The method can also be employed for a distributed-hospital medical service system. Methods: To ensure that hospital information supports the diverse needs of health care, the framework of the hospital information system has three layers: datacenter layer, system-function layer, and user-interface layer.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Corpus ID: Case study: a data warehouse for an academic medical center. Einbinder and K.