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You can now see the rows contained in the writeback table. You can resize the window as necessary to see all the columns. The MS_AUDIT_TIME and MS_AUDIT_USER columns on the right contain audit-trail information: the name of the user who made the changes, and the time the changes were made. The Sales_x0020_Units_0 column on the left contains the measure for the cube. (The table includes one column for each measure in the cube.) The remaining columns contain the member keys for each level of each dimension in the cube for which data has been entered. The writeback table stores incremental values. If you were to change the value of Sales Units for Bikes in quarter 1 of 2004 to 4,000 and write the value back to the cube again, you would get an additional row with new audit information and the value 1,000. 10. Close SQL Server Management Studio and Excel. Note
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Because the writeback values are stored in a relational table, you could use tools of your relational database system to append the values to the original fact table. Then, using SQL Server Management Studio, process the cube and delete the writeback partition.
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In this section, you ve seen how the writeback process works, but only with limited tools. If planning will be a part of your work with Analysis Services, you ll need to obtain or create a client application that supports writeback at least for cube data.
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To Create a URL action Do this In the Cube Designer, click the Actions tab, click the New Action button, name the action, select a target type and target object, specify the type of action as URL, and then type an expression that resolves as a URL. In the Cube Designer, click the Actions tab, click the New Reporting Action button, name the action, select a target type and target object, type the report server name, type a report path, and then, optionally, type a report parameter name and an MDX expression as the parameter value. In the Cube Designer, click the Actions tab, click the New Drillthrough Action button, name the action, select a measure group, and then specify drillthrough columns. On the Dimension Structure tab of the Dimension Designer, select the dimension, and then, in the Properties window, change the WriteEnabled property to True. On the Browser tab of the Dimension Designer, click the Writeback button, right-click a dimension member, click Create Sibling, and then type a name and a key value for the new member. In the Data Source View, create a named query with columns for the measure and for each dimension to which the measure group will be related. On the Cube Structure tab of the Cube Designer, right-click in the Measures pane, click New Measure, click the named query in the Source Table list box, and then select the measure in the Source Column drop-down list. In the Properties window, change the measure group s ErrorConfiguration property to (custom), and then change the KeyNotFound property to IgnoreError. On the Dimension Usage tab of the Cube Designer, create a regular relationship between the measure group and any related dimensions. On the Partitions tab of the Cube Designer, right-click the partition, click Writeback Settings, and then specify a data source for the writeback table.
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Create a drillthrough action
Write-enable a dimension
Add a member to a write-enabled dimension Create a single-measure measure group from an empty fact table
Write-enable a partition
Part IV
Production Management
In this part: 11: Implementing Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .271 12: Managing Partitions and Database Processing . . . . . . . . . .295 13: Managing Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .335
In Part II, Design Fundamentals, and Part III, Advanced Design, you explored many techniques that you can use to build flexible and powerful analytical solutions. However, implementing these solutions is not limited to the design and construction of database objects. You need to secure access to data, synchronize updates to the data warehouse with the dimensions and cubes, and perform routine administrative tasks. The chapters of Part IV show you how to manage your analytical solutions in a production environment.
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