Create purchase order, confirm and receive it. Create sales order, ship it. Prerequisites - Platform version 23 or later. Getting started - Go to the metadata folder.
It might need to be be run with elevated priviligies as Administrator. Running this script will without warning replace the ProductFlavor and ProductFlavorIntegration models. This will delete any customizations made to either of these two models. If the database is synchronized before enabling the configuration keys, not all changes are made to the data model on the SQL database.
Extensibility guideline NB: It is often easier to copy elements of another product dimension that have same purpose e. Names for newly created objects can be easily changed and listed here to ease navigation in the code. Extending an existing form is typically done in order to add new dimension related data sources or extra field Extending form classes is typically done in order to add various metadata info about new dimension so that it is taken into account during the processing of a user input by the form.
Extending an existing table typically involves adding new fields, relations, changing field groups and indexes. Multiple hierarchies for a dimension typically share the base-level dimension members and then branch into separate hierarchies. They can share the top level if they use all the same base members and use the same aggregation operators.
Otherwise, they need different top levels to store different aggregate values. For example, a Customer dimension may have multiple hierarchies that include all base-level customers and are summed to a shared top level. However, a Time dimension with calendar and fiscal hierarchies must aggregate to separate Calendar Year January to December and Fiscal Year July to June levels, because they use different selections of base-level members.
You may also have dimensions with parent-child relations that do not support levels. For example, an employee dimension might have a parent-child relation that identifies each employee's supervisor. However, levels that group together first-, second-, and third-level supervisors and so forth may not be meaningful for analysis.
Similarly, you might have a line-item dimension with members that cannot be grouped into meaningful levels. In this situation, you can create a value-based hierarchy defined by the parent-child relations, which does not have named levels.
You can create value-based hierarchies only for dimensions that use the source keys, because surrogate keys are formed with the names of the levels. Right-click Hierarchies , then choose Create Hierarchy. Figure shows the creation of the Primary hierarchy for the Product dimension.
Attributes provide information about the individual members of a dimension. They are used for labeling crosstabular and graphical data displays, selecting data, organizing dimension members, and so forth. Analytic Workspace Manager creates some attributes automatically when creating a dimension. These attributes have a unique type, such as "Long Description. All dimensions are created with long and short description attributes. If your source tables include long and short descriptions, then you can map the attributes to the appropriate columns.
However, if your source tables include only one set of descriptions, then you can map the long description attributes. If you map the short description attributes to the same column, the data will be loaded twice. Time dimensions are created with time-span and end-date attributes. This information must be provided for all Time dimension members.
You can create additional "User" attributes that provide supplementary information about the dimension members, such as the addresses and telephone numbers of customers, or the color and sizes of products. Right-click Attributes , then choose Create Attribute. Some attributes apply to all dimension members, and others apply to only one level. Your selection in the Apply Attributes To box controls the mapping of the attribute to one column or to more than one.
Figure shows the creation of the Marketing Manager attribute for the Product dimension. Notice that this attribute applies only to the Item level. Materialized views require that each dimension of the cube have unique key attributes.
These attributes store the original key values of the source dimensions, which may have been changed when creating the embedded total dimensions of the cubes. Analytic Workspace Manager automatically creates unique key attributes for the dimensions of a cube materialized view. You do not create them manually. Mapping identifies the relational data source for each dimensional object. After mapping a dimension to a column of a relational table or view, you can load the data.
You can create, map, and load each dimension individually, or perform each step for all dimensions before proceeding to the next step. The mapping window has a tabular view and a graphical view. You can switch between the two views, using the icons at the top of the canvas.
Tabular view : Drag-and-drop the names of individual columns from the schema navigation tree to the rows for the dimensional objects. Graphical view : Drag-and-drop icons, which represent tables and views, from the schema navigation tree onto the mapping canvas. Then draw lines from the columns to the dimensional objects.
You can use expressions when mapping dimensions in the tabular view. This capability enables you to create the top level of a dimension without having a source column in the dimension table. In the navigation tree, expand the dimension folder and click Mappings. The Mapping window contains a schema navigation tree on the left and a mapping table for the dimension with rows for the levels and their attributes.
This is the tabular view. In the schema tree, expand the tables, views, or synonyms that contain the dimension members and attributes. Drag-and-drop the source columns onto the appropriate cells in the mapping table for the dimension.
Figure shows the Product dimension mapped in the tabular view. BUYER attribute. You can view the contents of a particular source column without leaving the mapping window.
The information is readily available, eliminating the guesswork when the names are not adequately descriptive. Right-click the source object in either the schema tree or the graphical view of the mapping canvas. Analytic Workspace Manager provides several ways to load data into dimensional objects. The quickest way when developing a data model is using the default choices of the Maintenance Wizard.
Other methods may be more appropriate in a production environment than the one shown here. They are discussed in "Choosing a Data Maintenance Method".
To load data into the dimensions:. In the navigation tree, right-click the Dimensions folder or the folder for a particular dimension.
Select one or more dimensions from Available Target Objects and use the shuttle buttons to move them to Selected Target Objects. The additional pages of the wizard enable you to create a SQL script or submit the load to the Oracle job queue.
To use these options, click Next instead. Review the build log, which appears when the build is complete. If the log shows that errors occurred, then fix them and run the Maintenance Wizard again. Errors are typically caused by problems in the mapping. Check for incomplete mappings or changes to the source objects.
Figure shows the first page of the Maintenance Wizard. Only the Product dimension has been selected for maintenance. All the Product dimension members and attributes will be fetched from the mapped relational sources.
The Maintenance Wizard automatically generates relational views of dimensions and hierarchies. Chapter 4 describes these views and explains how to query them.
Figure shows the description of the relational view of the Product Primary hierarchy. You can view the data on the Data tab. After loading a dimension, you can display the default hierarchy. Cubes are informational objects that identify measures with the exact same dimensions and thus are candidates for being processed together at all stages: data loading, aggregation, storage, and querying. Cubes define the shape of your business measures.
They are defined by a set of ordered dimensions. The dimensions form the edges of a cube, and the measures are the cells in the body of the cube. On the Aggregation tab, click the Rules subtab and select an aggregation method for each dimension. If the cube uses more than one method, then you may need to specify the order in which the dimensions are aggregated to get the desired results.
You can ignore the bottom of the tab, unless you want to exclude a hierarchy from the aggregation. If you run the advisors after mapping the cube, Oracle OLAP can determine the best partitioning and storage options.
However, if you want to define these options yourself, then complete the Partitioning and Storage tabs before creating the cube. Click Create. The new cube appears as a subfolder under Cubes.
Figure shows the Rules subtab for the Units cube with the list of operators displayed. Measures store the facts collected about your business. Each measure belongs to a particular cube, and thus shares particular characteristics with other measures in the cube, such as the same dimensions.
The default characteristics of a measure are inherited from the cube. Right-click Measures , then choose Create Measure. You use the same interface to map cubes as you did to map dimensions, as described in "Mapping Dimensions". You can use expressions when mapping cubes in the tabular view. This capability enables you to perform tasks like these as part of data maintenance, without any intermediate staging of the data:.
Perform calculations on the relational data using any combination of functions and operators available in the OLAP expression syntax. Learn more. Developer Community. Show comments 5. Add comment. On the Select Creation Method page, verify that the Use an existing table option is selected, and then click Next. On the Select Related Tables page, clear the check boxes beside all of the tables, and then click Next.
On the Select Dimension Attributes page, click the check box in the header twice to clear all of the check boxes. The Sales Order Number attribute will remain selected because it is the key attribute.
In the NameColumn property cell, click the browse button Although changing the storage mode to ROLAP will save processing time and storage space, it occurs at the expense of query performance.
To add the newly created dimension to the Analysis Services Tutorial cube as a cube dimension, switch to Cube Designer. In the Add Cube Dimension. Information from its description page there is shown below. Commons is a freely licensed media file repository. You can help. Known as Flight Control Room 1, it was first used to control a space flight 38 years ago, the mission of Apollo 7 launched Oct.
It was one of two control rooms for NASA's manned missions.In this project 21Net designed, built and trialled a Wi-Fi access system connected to an interactive satellite terminal for use on trains with the capability to support broadband internet and intranet access as well as local multimedia content such as short films, up-to-the minute news, etc.