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The Clear Metric History Data Only and the Clear Metric History And Calendar Data functions delete all of the metric data in Metric Studio These functions are located in Cognos Connection Metric Maintenance When you select either of these functions, Cognos does not display the Are you sure prompt Imagine how catastrophic it would be to click this link and delete all of your work with no Undo command! We recommend that you disable these functions to avoid loss of information or change the permissions The Disable This Entry setting is located in the Properties for each function Here s how to disable these functions: 1 Click Properties for the Clear Metric History Data Only function 2 In the Set Properties screen, select the Disable This Entry checkbox 3 Click OK 4 Repeat steps 1 through 3 for the Clear Metric History And Calendar Data function

factory calendars, 382 field catalog adding fields, 283 pricing fields, 482 483 self-defined information structures, 400 404 fields descriptions, user-defined, 458 460 information storage, 37 pricing, 482 483

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3 Click the bookmark to select it 4 From the Properties pane, set the Label property to an appropriate name for the Table of Contents page For this example, we use Return to TOC 5 From the Page Explorer tab, open a page within the report For this example, we open the Top 5 Products page 6 From the Toolbox tab in the Insertable Objects pane, drag a Block object under the data container in the work area to add a hyperlink that returns the user to the bookmark on the Table of Contents page 7 From the Toolbox tab in the Insertable Objects pane, drag a Text Item object into the block object in the work area The Text dialog displays 8 In the text box, enter descriptive text for the action, and then click OK For this example, we use Return to Table of Contents:

to the target database during direct path loading and the loads can be run in parallel server processes The IAS statement will also use direct path loading where you provide an APPEND hint A direct path load parses the input data according to the description given in the external table definition, converts the data for each input field to its corresponding Oracle data type, and then builds a column array structure for the data These column array structures are used to format Oracle data blocks and build index keys The newly formatted database blocks are then written directly to the database, bypassing the standard SQL processing engine and the database buffer cache Since large-scale data warehouses are usually partitioned based on ranges or discrete values, another complementary technique often used during this loading process is the EXCHANGE PARTITION command The EXCHANGE PARTITION command allows you to swap the data in a nonpartitioned table into a particular partition in your partitioned table The command does not physically move data Instead, it updates the data dictionary to exchange a pointer from the partition to the table and vice versa Because there is no physical movement of data, an exchange does not generate redo and undo, making it a subsecond operation and far less likely to affect performance than any traditional data-movement approaches such as INSERT

Part III:

9 Right-click the text item, and from the context menu select Drill-Through Definitions The Drill-Through Definitions screen displays:

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Backup and high availability strategies are important in large-scale data warehousing where the warehouses are used for tactical business decisions, as they are in other enterprise databases A sound backup strategy for data in the data warehouse is critical to making such a warehouse recoverable in a reasonable amount of time Reloads from source systems and re-creating complex data transformations that occurred over time are an impractical approach to recovery However, even where backups are efficiently taken, the reload process might be too lengthy to meet business service-level requirements In such scenarios, providing high availability by deploying and maintaining both primary and secondary data warehouses can be justified While we cover high availability strategies in 2, some considerations are especially relevant where a large-scale data warehouse is deployed Part of a sound backup strategy for a data warehouse includes careful consideration of how data changes over time Where the data

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