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Each of these steps is described as the data ows from the source system; however, they are typically designed in the reverse The rst thing to be de ned is the target dimensional data structure to support the business Then, the work begins to determine what is needed to build a sustainable process to maintain these structures It is important to understand that integration of data across the enterprise is a foundation of this data architecture This integration must be ensured from perspective of end user access This is accomplished using conformed dimensions, as described in 7

When you have your goal clearly stated, in the positive, with your KPIs clearly identified, it becomes far easier to identify the resources you need to achieve it. For some of your goals, you already have all the resources you need and can make a start straight off the bat. For others, though, you may not have all you need and your first steps should be to secure them. As you continue to think about your future, your thinking naturally expands to include other people and resources that you don t have currently. That s okay. It is important first to identify what you need and then to come up with plans to get what you need by the time you need it.

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Small Icons This feature provides small icons in the details pane of the console. List This feature provides small icons in a list format in the details pane of the console. Detail This feature provides the list with column information. Advanced This feature turns on the advanced information features of the console. The Advanced option makes certain information, such as security, available in some snap-ins that have advanced features. Filter Some snap-ins have a Filter option that appears in the View menu. For example, DNS has the feature. Filter enables you to filter certain names so that you are not overwhelmed with console information. In other words, the filter helps you to display only information you want. Customize The Customize option gives you a Customize View window, shown in Figure B-9. You can use these check boxes to customize the console appearance as desired.

Data is extracted from the underlying source systems These may include major operational application systems, departmental databases, or data purchased

You see a Favorites menu and a Favorites tab in the MMC. This is a takeoff of Internet Explorer s favorites list, which you create as you bookmark Web sites you like. In a similar manner, you can add items to a favorites list in a console. For example, let s say that I like to check my system s interrupt request lines (IRQs) on a regular basis. (Hey, this is just an example.) I have the Computer Management snap-in loaded. I can examine those pesky IRQs by expanding Computer Management, expanding System Tools, expanding Hardware Resources, and then selecting IRQs or I can just add

from third-party sources The data architecture of this layer is determined by the source systems The source system data architecture is the same regardless of the data warehouse data architecture approach

When you ask yourself what the future will look like when you achieve your dreams, also consider what will be left behind, or what will disappear. When you are rich, in your mansion at the top of the hill, you will certainly leave today s poverty behind, but what about the positive parts of your life now: The friends, the sharing, the helping each other through difficulties. If these are also giving you things that are important to you, you need to find a way to keep them in the picture. You re far less likely to achieve your goals if they don t incorporate your core values.

IRQs to my favorites list, click the Favorites tab, and see them easily whenever I want, as shown in Figure B-10.

This is a step that is part of the extract, transform, and load system This is simply the rst step of gathering the data to feed to ETL processes There is no speci c data store de ned for this layer If the underlying source systems do not retain history, then the raw input les may be backed up for future use Archiving the raw input les (by the source system or here) is useful to support reprocessing of the data if necessary over time There are not substantial differences between the two data architecture approaches for data extraction

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