check digit ean 13 c# Data quality transformations in Visual C#.NET

Create GTIN - 13 in Visual C#.NET Data quality transformations

Data quality transformations
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Data mining transformations
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Special transformations
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Part V
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Microsoft SQL Server 2005 Business Intelligence
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Row Count counts the number of rows currently in the data flow and stores the value in a variable Slowly Changing Dimension manages inserts and updates in a data warehouse
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Metadata Validation
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You can add one or more transformations to the design surface of a data flow, but you cannot configure a transformation until you connect it to the regular or error output of an upstream component. Because metadata about the pipeline is maintained in the pipeline connections (the red and green arrows between components) and transformations, you must add transformations in the correct sequence or you will encounter validation errors that must be resolved before you can execute the package. Similarly, if you delete columns, change a column s data type, change a string column s length, or change a numeric column s precision or scale, you will encounter errors in downstream components. Sometimes, if you doubleclick the first downstream component, a message displays to indicate a metadata problem exists and offers to fix the problem automatically. Click Yes, and continue this process with each subsequent component in the pipeline. You can override metadata validation by setting a transformation s ValidateExternalMetadata property to False, but property applies only during design time. Metadata problems prevent packages from executing.
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When data cannot be passed into the regular output of a data source or a transformation, you ignore the error completely, redirect the row to the component s error output, or fail the component. To configure error output, follow these steps: 1. To follow this example, you must complete the steps described in the previous sections, beginning with Starting an Integration Services Project. Drag a destination component, such as the OLE DB Destination to follow this example, from the Toolbox to the data flow design surface, click the OLE DB Source, and then drag the red connector to the destination to complete the connection. 2. In the Configure Error Output dialog box, select a value in the Error drop-down list and in the Truncation drop-down list for a specific column. For example, select Ignore Failure in the Error drop-down list for the ModifiedDate column and select Redirect Row in the Truncation drop-down list, as shown in Figure 21-15. Click OK.
21
Integration Services
Figure 21-15 Configuring error output.
3. Double-click the destination to open the OLE DB Destination Editor, select a connection to a data source to which you want to send the error rows (or click New to create a new connection), select a data access mode, and provide a table name or applicable property value based on the selected data access mode. For this example, select DestinationConnectionOLEDB in the OLE DB Connection Manager dropdown list. 4. Click New to create and execute a script for a new table. You can modify this script by changing the default name or by changing column names. The script is generated from the metadata associated with the input to the destination. Click OK to return to the OLE DB Destination Editor, as shown in Figure 21-16. To continue this example, replace [OLE DB Destination] with [DepartmentErrors]. When you use the fast load option, you can set options such as keeping identity values from the source data, keep null values, lock the table for loading, check constraints during the load, and specify batch sizes. 5. Click Mappings in the left pane of the dialog box to display the column mappings between the input columns and the output columns used to send data to the destination. Click OK.
Part V
Microsoft SQL Server 2005 Business Intelligence
Figure 21-16 The OLE DB Destination Editor.
Debugging Tools
Sometimes you need to step through execution of a package to troubleshoot a problem or to confirm that tasks or transformations are behaving as you intend. The difference between architectures in the control flow engine and the data flow engine requires different tools for debugging control flow and data flow. They all allow you to pause the action and review the current state of information about the package.
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