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3. Click Create or Manage a Publication to open the Create and Manage Publications Wizard (shown in Figure 8-11), which enables you to perform several tasks. In the following steps, we ll assume that you re setting up a specific type of replication. The exact steps in the wizard will vary based on the options you choose. 4. Create a New Publication Click Create Publication to open the Create Publication Wizard. Click Next. 5. Choose Publication Type On this screen, specify the type of publication you want to create (see Figure 8-12), based on your business requirements for this database. Click Next. 6. Allow Immediate-Updating Subscriptions If you selected Merge publication in the preceding step, you should move on to the next step. If you selected either Snapshot or Transactional publication, you ll be asked whether or not you want to allow Immediate-Updating Subscribers (see Figure 8-13). Note that if you do want to allow this feature, a timestamp column will be added to each of the published tables. Click Next. rdlc ean 13 EAN - 13 Client Report RDLC Generator | Using free sample for EAN ...
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Features: - Linear, Postal, MICR & 2D Barcode Symbologies - Crystal Reports for .NET / ReportViewer RDLC support - Save barcode images in image files ... Declaration of grain is a crucial step in the design of every star. As you learned in 3, there are two ways to declare the grain of a transaction fact table. The grain may be defined by referencing an actual transaction identifier, such as an order line, or the grain may be specified in purely dimensional terms, as in orders by day, customer, product, and salesperson. Both of these methods identify the level of detail represented by a fact table row. Although the word transaction appears in its name, a transaction fact table s grain is not always the individual transaction. Many real-world transaction fact tables summarize activities, either because detail is available elsewhere or because the transaction volume is too large. The first fact table to appear in this book, in Figure 1-5, aggregated orders by day, salesperson, customer, and product. If the same salesperson booked two orders from the same customer for the same product on the same day, then both would have been combined in a single row in the fact table. Each row of the fact table describes specific events, though not individual events. rdlc ean 13 Packages matching RDLC - NuGet Gallery
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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ... Conceptually, the main query tests each row of the OFFICES table, one-by-one. The subquery finds all of the salespeople who work in the "current" office and returns a column containing the sales for each salesperson. The WHERE clause of the main query Figure 8-11. Transaction fact tables must have clearly defined grains, but this does not imply a mandatory relationship to all dimensions. For dimensions that do not participate in the grain of the fact table, an optional relationship is possible. In retail sales, for example, some transactions have a salesperson, but not all do. To avoid recording NULL-valued salesperson keys in the fact table, 6 advised creating a special row in the salesperson dimension to represent the house or not applicable. Figure 8-12. - 171 - rdlc ean 13 RDLC EAN 13 Creator generate EAN 13(UCC-13 ... - Avapose.com
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Barcode Generator for .NET RDLC Reports, integrating bar coding features into . NET RDLC Reports project. Free to download evaluation package. Second, recall that transaction fact tables are sparse. As you learned in 1, this characteristic follows logically from the statement of grain. Rows are recorded only for activities that take place, not for every possible combination of dimension values. For example, the simple orders star from Figure 1-5 did not record rows each day for every combination of salesperson, product, and customer. This would have led to excessive growth and cluttered up reports with numerous extraneous rows where all the facts had values of zero. Instead, rows were only recorded when orders took place. Lastly, recall that transaction fact tables normally record additive facts. As you learned in 3, most nonadditive measurements, such as ratios, can and should be broken down into fully additive components. This allows the granular data in the fact table to be aggregated to any desired level of detail, after which the ratio or nonadditive fact can be computed. You want the ratio of the sums, not the sum of the ratios. For example, if two products sell at a 10 percent margin, it is incorrect to say the total margin rate is 20 percent. Instead, the components of the margin rate margin dollars and order dollars are stored. When margin rate is needed, they are fetched and aggregated to whatever level of summarization is desired. Their ratio is computed only after any aggregation is performed. Storing fully additive facts provides the most flexible analytic solution. Figure 8-13. rdlc ean 13 RDLC Report Barcode - Reporting Definition Language Client-Side
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