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31. Select Regular calendar. Click Next. 32. Type Time for the name, and click Finish. 33. Once the dimension has been created, return to the Cube Structure tab and right-click the cube name in the dimensions section of the form. Click Add Cube Dimension. Select the Time dimension, and close the window. 34. Now you will add the appropriate attributes for each dimension. a. Return to the Cube Structure tab and right-click on FilteredOpportunity and select Edit Dimension. b. In the Data Source View section, select the following attributes to add to the dimension: accountidname,

Let s take an overview of the SSIS architecture before diving into the detail. Figure 2-2 is a reproduction of a diagram in the Microsoft Developer Network (MSDN) documentation. It is useful because it shows all of the component parts of SSIS in one place and makes clear how they fit together. SSIS Designer SSIS Designer is the familiar graphical user interface (GUI) that, among other capabilities, visually encapsulates the functionality offered by the two core namespaces: Microsoft.SqlServer. Dts.Runtime and Microsoft.SqlServer.Dts.Pipeline. It would be entirely possible to write a completely new and custom SSIS Designer that offers a more limited (or expanded) function set by interfacing with these SSIS namespaces.

A simple CASE expression is defined with constants or value expressions in its WHEN clauses. The simple CASE evaluates to a series of simple equality expressions.

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SOAP, the Simple Object Access Protocol, is an XML-based protocol designed for exchanging structured information in distributed, decentralized environments.

Object Model Integration Services Data Flow Source Transformation Data Flow Components Transformation Custom Data Flow Components Destination Destination Source

A spatial index is a mechanism for increasing the efficiency of geographic calculations like the distance between points, or whether an object contains another point or object.

Figure 2-2. MSDN s representation of the overall SSIS architecture As a precursor to discussing how these components interoperate, I ll highlight the important features and discuss some of the intricacies of each of them.

SQL injection is a technique that exploits security vulnerabilities in the application layer and middle tier, allowing users to execute arbitrary SQL statements on a server.

closeprobability, OpportunityName, salesstagecodename, statecodename, statuscodename, and stepname.

Figure 10-22. The welcome screen. Happy days!

A step in XQuery is composed of an axis, a node test, and zero or more predicates. Each step is a part of a path expression that generates a sequence of items and then filters the sequence.

Three-valued logic (3VL)

Caution Null business keys are not allowed. Ensure the column does not contain any null values by

Transparent data encryption (TDE)

The wizard s next page (Figure 10-24) is where you can define the changes to dimension columns. You can also specify the type of change here. The three available types of change (listed on the wizard screen) are summarized in Table 10-18.

c. Right-click and select New Attribute from Column to add the attributes to the dimension as shown below in

User-defined aggregate (UDA)

Specifies that the value in the column should not change. Changes are treated as errors. Specifies that any changes should overwrite existing values. Specifies that a copy of the data should be made before changes are made. The original data is marked as noncurrent.

User-defined type (UDT)

The wizard s next step (Figure 10-25) shows the options available for fixed or changing attributes. When you use a Historical attribute change, additional columns are used to signify that a record is no longer current. These indicators can be an existing column specified on the screen shown in Figure 10-26. You can specify start/end dates also. Further configuration can be made with respect to inferred dimension members (see Figure 10-27). Clicking Finish on the final step of the wizard makes some craziness appear on your nice clean Data Flow design surface, as Figure 10-28 shows. Six different kinds of output potentially get added and configured in the Data Flow that gets generated. They re shown in Table 10-19.

This is XML data that follows the W3C XML recommendation for well-formed data. It includes a single root element and properly nested elements, and is properly entitized.

Figure 4-41.

Well-known text (WKT)

Figure 10-28. Where did all this come from!

Windowing functions are functions that can partition and possibly order datasets before they are applied to the dataset partitions.

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