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A variation on the single fact table solution is to record only one generic fact. A new dimension will determine whether it represents an order or a shipment. An example of this technique is shown in Figure 4-3. This approach solves the zero-valued row problem, because each row is either an order or a shipment. Notice that queries must still qualify on the type of fact to be studied. In addition, the query results will show up in an unusual format that will require additional formatting inside reports. This format becomes even more problematic for queries that compare both processes. Information desired in a columnar format will be returned in different rows. Once again, design shortcomings will cause suffering among report developers. rdlc pdf 417 PDF417 Barcode Creating Library for RDLC Reports | Generate ...
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NET web & IIS applications; Easy to draw & create 2D PDF - 417 barcode images in jpeg, gif, png and bitmap files; Able to generate & print PDF - 417 in RDLC ... Figure 4-20. Pattern matching test. Checks whether the value of a column containing string data matches a specified pattern. Use this test to select customers whose names start with the letter "E." Null value test. Checks whether a column has a NULL (unknown) value. Use this test to find the salespeople who have not yet been assigned to a manager. rdlc pdf 417 PDF - 417 Client Report RDLC Generator | Using free sample for PDF ...
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Free trial package available to insert PDF - 417 barcode image into Client Report RDLC . Rather than come up with other ways to boil the frog, the preferred solution is to model each process in its own fact table. In the case of orders and shipments, an example is provided in Figure 4-4. Notice that each fact table shares the common dimensions day, product, and customer. Each stores only the appropriate facts; there is no need to record extraneous zeros. Set up in this manner, it is now possible to study the individual process without additional bother. Those seeking information about orders can use order_facts; those seeking information about shipments can use shipment_facts. If either of these processes has additional facts, they can be added to the appropriate fact table. There is another matter to be considered: now that the facts are recorded in separate fact tables, how does one study them together Before we get to that question, let s take a look at the other clue that two facts describe different processes. rdlc pdf 417 How to add Barcode to Local Reports ( RDLC ) before report ...
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Barcode Control SDK supports generating Data Matrix, QR Code, PDF - 417 barcodes in RDLC Local Report using VB and C# class library both in ASP.NET and ... On the client side, you ll need to have a tool that is easy enough for end users to access. Microsoft Excel 2000 provides many features for accessing OLAP information. The most obvious is the use of the PivotTables feature, shown in Figure 4-21. PivotTables provide interactive data analysis, based on a graphical system. Instead of rephrasing SQL query syntax, the user only needs to drag and drop various columns into place to change views. When connected to an OLAP server, however, the PivotTables feature is greatly enhanced. The user can now form complex data relationships on two or more axes of the cube. Furthermore, Microsoft has provided for storing offline cubes data structures that store the information that is likely to be used in your OLAP analysis, except that it is stored on your local machine until needed. With this feature, queries can be run much more quickly (since they minimize data transfers on the network) and can even be run when not connected to a network at all. Comparison Test (=, <>, <, <=, >, >=) ORDER_FACTS day_key 123 123 123 customer_ product_ key key 777 777 777 111 222 333 quantity_ ordered 100 200 50 Figure 4-21. SHIPMENT_FACTS day_key 456 456 789 customer_ product_ key key 777 777 777 111 222 222 quantity_ shipped 100 75 125 The most common search condition used in a SQL query is a comparison test. In a comparison test, SQL computes and compares the values of two SQL expressions for each row of data. The expressions can be as simple as a column name or a constant, or they can be more complex arithmetic expressions. SQL offers six different ways of comparing the two expressions, as shown in Figure 6-7. Here are some examples of typical comparison tests: If you re a DBA who does little database development, you ve probably wondered why SQL syntax is so cryptic. Actually, compared to other programming languages, the syntax and rules of SQL are quite simple. However, for most people, it s still easier to use a database application designed to develop a quick report than it is to design and generate the report manually. Realizing this, Microsoft has included the English Query application, which allows database administrators to create relationships between various types of database information. For example, suppose you program relationships such as Customers have addresses or Orders are shipped to customers. Based on these relationships, English Query can create SQL statements out of phrases such as How many parts did Store #112 sell in the first quarter of 1999 If you ve ever been on the receiving end of a call from a manager who wants you to design reports, you can see how this feature might be very helpful! Figure 4-4 4:
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