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8 Optionally, from the context menu, select View Run History The View Run History screen displays For more information on run history, refer to 6

One of the engines Oracle offers is Essbase, a MOLAP database engine that is external to the Oracle relational database (and therefore is deployed outside of the Oracle Exadata Database Machine) Essbase is especially useful where business analysts want to extract data from Oracle and other data sources for custom analyses of their own design But in some situations, data volumes can be so large that moving data out of an Oracle database across a network link and into Essbase is not desirable In these scenarios, deploying in-database OLAP can make sense as an alternative approach Oracle provides in-database OLAP via the Oracle OLAP Option OLAP cubes are stored as embedded objects called analytic workspaces within the relational structure of the Oracle database The cubes are created by defining dimensions, levels, and hierarchies within dimensions, attributes, and mappings from relational source schema to the OLAP cube dimensions Cubes and other dimensional objects appear in the Oracle database data dictionary Oracle s Analytic Workspace Manager (AWM) is commonly used as the tool for creating and managing this process as an alternative to using SQL commands AWM can also be used to set up and populate allocations of data down a hierarchy Access to the OLAP Option analytic workspace data structures is most commonly via SQL, though a Java OLAP application programming interface (API) is also supported for applications development A variety of functions are available within the OLAP Option, including analytic functions, arithmetic functions, aggregations, statistical time-series, and allocations Forecasts can be generated for short periods using a timeseries approach and for longer periods by doing causal analysis using statistical regression As of Oracle Database 11g, cube-based materialized views provide views over the cubes that have already been created, populated, and aggregated As a result, SQL queries to an Oracle relational database will be transparently redirected to the proper level in the OLAP Option cube to answer a query, much the same as would occur where any materialized view is present Cube-based materialized views also enable OLAP Option cube data refreshes to be handled like those of any materialized views The OLAP Option can provide a highly desirable and simpler alternative database structure in comparison to maintaining large quantities of materialized views across many dimensions in an Oracle relational database.

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Part IV:

9 Optionally, filter your schedules using the filter options, as shown next:

TIP: To view the customer s credit master sheet, proceed from the logistics screen and go to Accounting, Financial accounting, Accounts receivable, Environment, Credit management, Check, Credit master sheet [F35]

The Oracle Exadata Database Machine is a large and heavy server Tables 4-6, 4-7, and 4-8 outline the physical characteristics of the Database Machine Rack configurations

10 Optionally, under Filter, click Select A User to view schedules created by a specific user The Select The User (Navigate) screen displays, as shown next You can navigate to the user whose schedule(s) you want to view

Oracle Exadata Database Machine X2-2

11 Optionally, from the Status drop-down list and/or the Priority drop-down list, click a status and/or a priority on which to filter

< xml version="10" encoding="UTF-8" > Page 378 This master sheet offers all necessary credit data that can be used in viewing the customer s overall credit status This includes the total credit limit used and the open order, delivery, and receivable values, as shown in Figure 4-125a and 4 125b

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September October 2009 2008 N/A 42U 7866 inches (1988 mm) H 2362 inches (600 mm) W 4724 inches (1200 mm) D 907 lbs (4114 kg) 36 kW (37 kVA) 12,300 BTU/hour

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