how to make barcode in vb.net 2010 A Fact Table for Each Process 83 in Software

Encoder QR Code in Software A Fact Table for Each Process 83

4 A Fact Table for Each Process 83
QR Scanner In None
Using Barcode Control SDK for Software Control to generate, create, read, scan barcode image in Software applications.
QR Generator In None
Using Barcode printer for Software Control to generate, create QR Code image in Software applications.
Some fact tables do not describe processes so much as conditions. These fact tables often contain no facts, and are discussed in 12, Factless Fact Tables. They provide additional insight into the analysis of process-focused stars. In some cases, a single process exhibits variation in the facts and dimensions collected; this can be addressed with the core and custom versions of a fact table, as presented in 13, Type-Specific Stars. Derived fact tables reorganize data from existing fact tables to reduce the complexity of creating reports or improve performance. In addition to the merged fact table introduced in this chapter, derived fact tables can pivot, slice, and reorganize data, as discussed in 14. A fact table that describes a process may also be supplemented by summary tables, or aggregates, which are discussed in 15, Aggregates.
QR Code Decoder In None
Using Barcode recognizer for Software Control to read, scan read, scan image in Software applications.
Painting QR Code In Visual C#
Using Barcode generation for VS .NET Control to generate, create Denso QR Bar Code image in .NET applications.
Further Reading
Draw QR-Code In VS .NET
Using Barcode generation for ASP.NET Control to generate, create QR-Code image in ASP.NET applications.
QR-Code Encoder In .NET Framework
Using Barcode creator for .NET framework Control to generate, create Quick Response Code image in Visual Studio .NET applications.
The exploration of how to identify processes and why they require different fact tables builds on an introduction to the topic that originally appeared in 1 of Data Warehouse Design Solutions, by Chris Adamson and Mike Venerable (Wiley, 1998). Another perspective on the phenomenon of zero-valued facts in reports is presented in 6 of the same book, where the possibility of violating sparsity to support calculation of averages is explored and rejected in the context of an inventory schema. Drill-across capability is an essential feature of the dimensional data warehouse architecture. The concept is described by Kimball and Ross in 3 of The Data Warehouse Toolkit, Second Edition (Wiley, 2002), in the context of value chain integration. They also define drilling across in the book s glossary as separate queries that are merged together in a separate pass by matching row headers. Unlike the previous edition of the book, these are the only two mentions of the term drill across. Their desire to back away from the term is understandable since people tend to associate the word drill with the features of OLAP tools. In the absence of a better substitute, however, I have chosen to feature the term prominently. Examples of drill-across operations can be found in both of the books mentioned here. Data Warehouse Design Solutions includes examples for sales and returns, and sales and warranty costs in 4, production overhead, material usage, and labor usage in 5, production versus defects in 7, budgets versus spending in 8, revenues versus expenses and other finance applications in 9, and profitability analysis in 10. In the Data Warehouse Toolkit, you can find examples of separate fact tables for individual processes such as sales and inventory ( 3), headers and line items ( 5), solicitation and response ( 6), trips and segments ( 11), and registration and attendance ( 12). I describe the construction of a merged fact table that precomputes drill-across processing in 9 of Mastering Data Warehouse Aggregates (Wiley, 2006). The example used compares sales activity to planning numbers.
QR Code JIS X 0510 Drawer In Visual Basic .NET
Using Barcode maker for .NET framework Control to generate, create QR-Code image in VS .NET applications.
Drawing Code 128B In None
Using Barcode encoder for Software Control to generate, create ANSI/AIM Code 128 image in Software applications.
Part ii
Making UPCA In None
Using Barcode drawer for Software Control to generate, create UPC Code image in Software applications.
Drawing Barcode In None
Using Barcode creation for Software Control to generate, create barcode image in Software applications.
This page intentionally left blank
USS Code 39 Encoder In None
Using Barcode creator for Software Control to generate, create Code 3 of 9 image in Software applications.
Creating DataMatrix In None
Using Barcode creation for Software Control to generate, create Data Matrix ECC200 image in Software applications.
32 5
Printing Leitcode In None
Using Barcode encoder for Software Control to generate, create Leitcode image in Software applications.
Printing Code 3/9 In None
Using Barcode maker for Office Excel Control to generate, create Code 3 of 9 image in Excel applications.
CHAPTER
GS1-128 Printer In None
Using Barcode creation for Font Control to generate, create GS1 128 image in Font applications.
Create EAN 13 In VB.NET
Using Barcode creation for Visual Studio .NET Control to generate, create EAN-13 Supplement 5 image in .NET applications.
Conformed Dimensions
Code 3 Of 9 Maker In VS .NET
Using Barcode printer for Visual Studio .NET Control to generate, create USS Code 39 image in Visual Studio .NET applications.
Recognize Bar Code In VS .NET
Using Barcode scanner for .NET framework Control to read, scan read, scan image in VS .NET applications.
Analytics that cross process boundaries are extremely powerful. This holds true within a subject area and across the enterprise. As the previous chapter showed, process-focused analytics require separate fact tables, and cross-process analytics require bringing this information together. This is accomplished by drilling across, and its success or failure hinges on dimensions. This chapter focuses on insuring cross-process capability through conformed dimensions. With the right dimension design and content, it is possible to compare facts from different fact tables, both within a subject area and across the enterprise. Many powerful metrics can only be provided in this manner. Incompatible dimensions, on the other hand, prevent drilling across. The resulting stovepipes can be frustrating. The requirements for conformed dimensions are spelled out as a series of rules. It is possible to memorize these rules and follow them blindly, but students of dimensional design are better off understanding why they are important. Before enumerating the conditions for conformance, this chapter takes a closer look at how dimensions make or break a successful drill-across. Conformance, it turns out, can take many forms. This chapter will look at several ways that dimensions can conform and offer practical advice to keep your designs out of trouble. Conformed dimensions can do more than enable drilling across. They can serve as the focus for planning enterprise analytic capability. This chapter closes with practical considerations surrounding conformance in each of the major data warehouse architectures the Corporate Information Factory, the dimensional data warehouse bus architecture, and the stand-alone data mart.
Code128 Maker In Java
Using Barcode generation for BIRT reports Control to generate, create Code 128A image in BIRT reports applications.
Create EAN128 In Objective-C
Using Barcode generator for iPhone Control to generate, create UCC - 12 image in iPhone applications.
Copyright © OnBarcode.com . All rights reserved.