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When multiple users access the Oracle BI Server, many queries will have similar content, allowing the Oracle BI Server to intelligently reuse previous query results, a capability called query caching There are two kinds of caching in the system: Web server Oracle BI Presentation Server caches queries and query results When a user submits a query, the web server examines the logical SQL to see if it matches an existing cached query If it does, then the web server uses the results without resubmitting logical SQL to the Oracle BI Server As a user generates new data views, manipulates a pivot table, or returns to a recently viewed dashboard page, the web server uses cached results The user can explicitly refresh the query if needed Oracle BI Server Query caching also occurs at the Oracle BI Server The Oracle BI Server saves each logical query and all its components the text of the logical SQL, the time and date of the query, the list of physical tables used in the SQL (or other query language), and the results of the query The Oracle BI Server will analyze each new query it receives and determine whether it can answer it using cache The Oracle BI Server also allows queries that require extensive database processing to be prescheduled to run so results are already available when users open their dashboards
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A frequently experienced benefit of caching is improved dimensional browsing performance Since it has been estimated that 80 percent of user queries to a data warehouse are pure dimensional browses, this results in a significant reduction in database activity and improves the responsiveness of the system
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During system installation, an Oracle BI administrator specifies the content of various physical table sources using a graphical administration tool At run time, the navigator uses these physical table content descriptions to mix and match physical
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table sources to answer the logically requested data The administration tool has been designed with wizards, utilities, and interface design elements to help the administrator work efficiently with real-world, large-scale enterprise metadata A calculation wizard helps administrators write formulas (for example, a share calculation) and ensures their correctness, while the Time Series Wizard enables an administrator to create hundreds of time series comparison measures (for example, sales last year, percentage change vs last year, ratio of sales to last year, and so on) in a matter of seconds Project management features also enable multiple administrators to simultaneously work on the metadata repository
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Oracle BI Administrator offers the following features: Change management The Oracle BI Administrator provides a number of change management services For instance, a rename wizard makes it easy to change the names of multiple objects at once, substituting text, changing case, and adding prefixes or suffixes This makes it easy to drag and drop physical columns into the business model layer to give them more meaningful, readable logical names The administrator can set the aggregation rule for a group of logical columns all at once, rather than one at a time Metadata administration To make working with large repositories easier, the administration tool enables the administrator to structure and organize metadata, for instance by using folders to organize objects The administrator can put all dimension tables in a single folder and all hierarchies in a different folder or alternatively put a dimension table and its related hierarchies in the same folder and use graphical icons to mark objects for specific purposes Dependency and impact analysis A query utility allows the administrator to find metadata objects by type, while filtering on properties and relationships to other objects For example, an administrator could find all logical columns that are dependent on a specific physical table or column to determine what business objects will be affected if a certain physical column is deleted in the database Export-import The administration tool provides facilities to export and import metadata in order to move systems from staging to production environments and to export metadata to files for the purposes of documentation A repository documentation utility generates a list of presentation columns, business model columns they correspond to, formulas, and physical sources they map to
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