how to make barcode in vb.net 2010 A Drill-Across example in Software

Creator QR Code in Software A Drill-Across example

A Drill-Across example
Read Denso QR Bar Code In None
Using Barcode Control SDK for Software Control to generate, create, read, scan barcode image in Software applications.
Encode QR In None
Using Barcode generation for Software Control to generate, create Quick Response Code image in Software applications.
In order to compare orders and shipments by product for January 2008, it is first necessary to summarize the individual orders and shipments separately, at the desired level of dimensional detail. At the top of Figure 4-11, each of the fact tables is queried individually. The orders query provides total orders by product; the shipments query provides total shipments by product. Each query has been subjected to the same constraints, in order to return results only for January 2008. These two queries provide results that have aggregated facts to exactly the same level of dimensionality. This means that each product will have at most one row in each result set. Each result set has exactly the same dimensionality. Once the facts have been queried and summarized at a common level of dimensionality, the intermediate result sets can be merged together. In SQL terms, a full outer join is required. That is to say, it is important to include all data from each result set, even if there is a row in one set without a corresponding row in the other set. This merge operation provides the final results shown in the bottom of Figure 4-11. During this merge operation, it is possible to produce comparisons of the various metrics. In the illustration, the ratio of orders to shipments during the period has been added. By separating the process into two phases, the drill-across solution has avoided double counting the order for product 222, and has not lost track of the order for product 333. This simple example can be extrapolated into a two-phase procedure for drilling across.
QR Code JIS X 0510 Reader In None
Using Barcode scanner for Software Control to read, scan read, scan image in Software applications.
Creating QR Code In Visual C#
Using Barcode maker for VS .NET Control to generate, create QR-Code image in VS .NET applications.
Drill-Across Procedure
QR Code Generator In .NET Framework
Using Barcode drawer for ASP.NET Control to generate, create QR Code JIS X 0510 image in ASP.NET applications.
QR Code Encoder In .NET Framework
Using Barcode creation for .NET framework Control to generate, create Denso QR Bar Code image in Visual Studio .NET applications.
Every drill-across operation has two phases, as summarized in Figure 4-12. Phase 1 retrieves facts from each fact table, applying appropriate filters, and outputting the result at the desired level of dimensional detail. Phase 2 merges the intermediate result sets together. During the merge process, it is possible to add comparisons of the facts from different processes. This process is not limited to two fact tables. It can be expanded to work with three, four, or any number n of fact tables. In the first phase, each of the n fact tables is queried. This generates n intermediate result sets, all at the same level of dimensional detail. Each of the n sets is then combined a pair at a time. Any sequence is acceptable, as all result sets share the same level of dimensional detail. Any ratios can be constructed as a last step. The diagram in Figure 4-13 illustrates a report that drills across four fact tables. The first contains information about sales calls, the second tracks sales proposals, the third tracks orders, and the fourth tracks shipment revenue. The report at the bottom of the page rolls up key measurements from each of these tables by period and sales region, and indicates the ratio of sales calls to orders.
QR-Code Drawer In VB.NET
Using Barcode drawer for .NET framework Control to generate, create QR Code image in Visual Studio .NET applications.
Making Universal Product Code Version A In None
Using Barcode maker for Software Control to generate, create UPC-A Supplement 5 image in Software applications.
4 A Fact Table for Each Process 75
Bar Code Encoder In None
Using Barcode encoder for Software Control to generate, create barcode image in Software applications.
Drawing EAN / UCC - 14 In None
Using Barcode maker for Software Control to generate, create GS1 128 image in Software applications.
ORDER_FACTS day_key 123 123 123 customer_ key 777 777 777 product_ key 111 222 333 quantity_ ordered 100 200 50
Barcode Printer In None
Using Barcode generation for Software Control to generate, create barcode image in Software applications.
Code 39 Extended Maker In None
Using Barcode encoder for Software Control to generate, create Code39 image in Software applications.
SHIPMENT_FACTS customer_ day_key key 456 456 789 777 777 777
Generating Identcode In None
Using Barcode generator for Software Control to generate, create Identcode image in Software applications.
UCC.EAN - 128 Generator In .NET Framework
Using Barcode encoder for Reporting Service Control to generate, create EAN128 image in Reporting Service applications.
product_ key 111 222 222
Make Bar Code In .NET Framework
Using Barcode drawer for .NET Control to generate, create bar code image in .NET framework applications.
Generate Data Matrix ECC200 In None
Using Barcode drawer for Word Control to generate, create Data Matrix image in Office Word applications.
quantity_ shipped 100 75 125
Code 39 Extended Maker In Java
Using Barcode generator for Java Control to generate, create Code 39 Extended image in Java applications.
Barcode Maker In VS .NET
Using Barcode drawer for ASP.NET Control to generate, create barcode image in ASP.NET applications.
Orders Query
Bar Code Drawer In Objective-C
Using Barcode creation for iPhone Control to generate, create bar code image in iPhone applications.
Paint Code 39 Extended In .NET Framework
Using Barcode creation for ASP.NET Control to generate, create Code 3/9 image in ASP.NET applications.
Shipments Query
product =========== Product 111 Product 222 Product 333
quantity ordered ================ 100 200 50
product =========== Product 111 Product 222
quantity shipped ================ 100 200
Merge on common dimensional attribute (product), and compute ratio
product =========== Product 111 Product 222 Product 333
quantity ordered ================ 100 200 50
quantity shipped ================ 100 200
ratio ====== 100% 100% 0%
Figure 4-11
Drilling across orders and shipments
Part ii
PART II
Multiple Stars
Dim 1 Phase 1: Issue a separate query for each fact table Qualify each query as needed Get same dimensions in each query Summarize facts by chosen dimensions Fact A Dim 2 Dim 3
Dim 1 Dim 2 Dim 3 Fact B
Query A Results
Query B Results
Phase 2: Combine the result sets Perform a full outer join based on common dimensions Compute comparisons or ratios of facts if desired
Final Results
Figure 4-12 Drilling across
TiP Cross-process ratios are powerful measurements. Because they do not correspond to a single column, or even a single table, they are often lost in the metadata collected by design tools and reporting software. These ratios should be documented at design time, highlighting the interaction between business processes that can be supported by the star schemas. In principle, there is no reason that each of the fact tables participating in a drill-across report must reside in the same database. The queries in Phase 1 can take place on different database instances, or even databases from different vendors. In Figure 4-13, each of the four stars resides in a different database, from a different vendor. The intermediate result sets are then combined to produce the final report. For all of this to work, it is important that the common dimensions be the same in each database, both in terms of structure and content. In terms of structure, their presence in each star allows the common dimensions to be retrieved by each phase 1 query. In terms of content, the identical representation of dimension values enables merging of the intermediate results during Phase 2. For example, in Figure 4-13, the period and region dimensions are present in all stars. This allows each Phase 1 query to aggregate information by period and region. The content of these dimensions is represented identically as well. In all databases, periods are specified as Q1 through Q4 and regions as North, South, and so forth. Because the content values are identical, they can be used to join the result sets together in Phase 2. If one or more of the databases had different region designations, or specified periods as First Quarter through Fourth Quarter, it would not be possible to complete the merge.
Copyright © OnBarcode.com . All rights reserved.