how to make barcode in vb.net 2010 Architecture and Dimensional Design in Software

Generator QR Code in Software Architecture and Dimensional Design

Architecture and Dimensional Design
QR Code Decoder In None
Using Barcode Control SDK for Software Control to generate, create, read, scan barcode image in Software applications.
Print QR Code 2d Barcode In None
Using Barcode printer for Software Control to generate, create QR Code image in Software applications.
All of these architectures are successfully put to use by businesses and organizations throughout the world. Your data warehouse architecture may closely match one of these paradigms, or you may find it incorporates elements of each. A high-level comparison of these approaches allows you to cut through the noise and confusion that surround the star schema. The three architectural paradigms discussed in this chapter are summarized in Figure 2-5.
Scan QR Code 2d Barcode In None
Using Barcode reader for Software Control to read, scan read, scan image in Software applications.
Generate QR Code In Visual C#.NET
Using Barcode drawer for .NET framework Control to generate, create Denso QR Bar Code image in Visual Studio .NET applications.
Contrasting the Approaches
Making Quick Response Code In VS .NET
Using Barcode drawer for ASP.NET Control to generate, create QR Code image in ASP.NET applications.
Encoding QR Code In Visual Studio .NET
Using Barcode encoder for .NET framework Control to generate, create QR image in .NET applications.
Inmon s Corporate Information Factory and Kimball s dimensional data warehouse have an enterprise focus. They aim to support analytic needs across a business or organization. This approach permits them to address the requirements within a subject area, as well as questions that span subject areas. An enterprise focus requires a project approach that deals with data requirements from multiple organizations. The data warehouse cannot be designed by listening to one set of needs at a time. The team must explore and resolve disparate representations of common data elements with significance that varies by audience. Customers or products, for example, may be relevant in manufacturing, sales, marketing, and accounting. There may be numerous systems that have diverging views of these same data elements. The data warehouse design must accommodate all these views in a unified manner. The stand-alone data mart, in contrast, lacks an enterprise focus. Its development considers requirements from one group or department. Because of this narrow focus, its development is not hampered by the need to explore the use of common data elements across the business; it can focus on the specific systems in a particular subject area.
QR Code Encoder In VB.NET
Using Barcode maker for .NET framework Control to generate, create Denso QR Bar Code image in .NET framework applications.
Data Matrix ECC200 Encoder In None
Using Barcode drawer for Software Control to generate, create ECC200 image in Software applications.
2 Data Warehouse Architectures 25
Code 128A Creation In None
Using Barcode maker for Software Control to generate, create USS Code 128 image in Software applications.
Code 3 Of 9 Generator In None
Using Barcode generator for Software Control to generate, create Code 39 Full ASCII image in Software applications.
Architecture
European Article Number 13 Maker In None
Using Barcode printer for Software Control to generate, create European Article Number 13 image in Software applications.
Creating GS1-128 In None
Using Barcode maker for Software Control to generate, create EAN128 image in Software applications.
Advocate
Delivery Point Barcode (DPBC) Creation In None
Using Barcode printer for Software Control to generate, create USPS POSTNET Barcode image in Software applications.
Print Code 128C In C#
Using Barcode generation for .NET framework Control to generate, create Code 128C image in .NET applications.
Also Known As
Code 3/9 Maker In VS .NET
Using Barcode maker for ASP.NET Control to generate, create Code 39 Full ASCII image in ASP.NET applications.
Creating Code39 In None
Using Barcode generation for Office Word Control to generate, create Code 3 of 9 image in Word applications.
Description Enterprise data warehouse component is an integrated repository of atomic data It is not accessed directly Data marts reorganize data for departmental use/analysis Dimensional data warehouse is an integrated repository of atomic data It may be accessed directly Subject areas within the dimensional data warehouse sometimes called data marts Data marts not required to be separate databases
Reading Code 128C In Java
Using Barcode recognizer for Java Control to read, scan read, scan image in Java applications.
Bar Code Encoder In Objective-C
Using Barcode maker for iPhone Control to generate, create barcode image in iPhone applications.
Role of Dimensional Design
Barcode Reader In Visual Basic .NET
Using Barcode decoder for VS .NET Control to read, scan read, scan image in .NET applications.
Print Data Matrix ECC200 In VS .NET
Using Barcode printer for ASP.NET Control to generate, create Data Matrix image in ASP.NET applications.
Corporate Information Factory
Bill Inmon
Atomic data warehouse Enterprise data warehouse
Dimensional design used for data marts only
Enterprise data warehouse Dimensional Data Warehouse Ralph Kimball Bus architecture Architected data marts Virtual data marts
All data is organized dimensionally
Data mart Stand-Alone Data Marts No takers, yet common Silo Stovepipe Island Subject area implementation without an enterprise context May employ dimensional design
Figure 2-5
Three data warehouse architectures
As a result of their common scope, the two enterprise architectures share an architectural characteristic in common: each has a single integrated repository of atomic data. In the Corporate Information Factory, this repository is called the enterprise data warehouse. In the dimensional data warehouse, this repository is called the dimensional data warehouse. The integrated nature of the central repository is consistent with an enterprise focus. It brings together various vantage points on common entities, such as customer or product. Likewise, its atomic focus addresses enterprise objectives. Data is not collected at the level of detail required by a particular group or subject area. Instead, it is collected at the lowest level of detail available, allowing it to satisfy any analytic requirement. Stand-alone data marts, in contrast, are not necessarily integrated or atomic. Focused on a subject area, each stand-alone data mart addresses the specific needs of a particular group. It does not aim to integrate varying views of key entities such as customer, product, or department. Because it is crafted to meet the needs of one particular point of view, the stand-alone data mart may summarize operational data. The components of each architecture are contrasted in Figure 2-6. For each architecture in the diagram, the first three columns describe enterprise characteristics. Lacking an enterprise focus, the stand-alone data mart does not feature an integrated repository. While the two enterprise architectures both incorporate an integrated repository of atomic data, they differ in how it is designed and used. Kimball advocates the use of dimensional design, Inmon does not. This is represented in the second column of Figure 2-6. The next column shows how this repository is used. Kimball allows the repository to be queried directly, Inmon does not. Moving from the enterprise implications of each architecture to each architecture s treatment of the subject area, again there are similarities and differences. All three architectures feature the concept of a data mart, which describes the support of a particular
Copyright © OnBarcode.com . All rights reserved.