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In the previous section, you read about the DNS hierarchy, which consists of domains that can be resolved. DNS is built from the Internet root level up and can represent virtually an unlimited number of hosts on the Internet. Now, you can turn your attention to the Active Directory domain hierarchy, which for all practical purposes is exactly the same. The Active Directory hierarchy, or namespace, begins with a root domain, which is actually the domain forest root for your entire enterprise. This root domain is a Windows 2000 domain of users, computers, and resources. From this single root domain, all other Windows 2000 domains can be created. Because the Active Directory uses DNS for its namespace design, the root domain serves as the building block for all other domains. Consider this example. Triton, Inc. (a fictitious company I m using as an example throughout the book) wants to install the Active Directory. They will have one major Windows 2000 domain and two child domains one for production and one for development.

(continued)

While it is important to keep your technology current, it is just as important to ensure that the data warehouse itself is maintained To simply keep the environment running, the ETL system and the BI application require attention

I m keeping our domain discussion at a minimum here because the Active Directory domain hierarchy is addressed in detail in 3.

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Triton, Inc., decides to create a root domain using their company name. The root domain name becomes triton.com. From this root domain, the company decides to create two child domains, having names of production.triton.com and development. triton.com, as you can see in Figure 2-2. From this hierarchical structure, a contiguous namespace is created an area in which all domains and computers within the domain can be resolved. Obviously, other child domains can be created from the root, or they can be created from existing child domains. For example, at any time, the company could add a domain from the root, such as europe.triton.com, or they could create a child of a child, such as europe.production.triton.com. In any case, the namespace created is contiguous, and it is resolvable.

Table 1-1 (continued)

The data loads must continue to run as planned, and each load must have a quality assurance step to monitor the data s accuracy Most successful data warehouses generate a need for more data, more reference data, and the inclusion of more sources Adding new data sources is usually done by creating a new project and following the principles discussed throughout this book More time and energy are needed to maintain the data that you have already started with Once the ETL system is developed, it should not be moved into production to simply run for the next ve years Changes and tweaks will always be made to the underlying source systems This can affect what ows to the ETL system It may be small changes that have minimal impact, but sometimes signi cant changes are required to the ETL processing These changes are often the result of modi cations to the underlying source systems Examples of source system changes that impact the ETL system include the following: Changes to how data elements are used For example, if there is a change to how pricing is performed, the data may be stored in all the same elds as before, but the contents may now contain pricing tiers, rather than an actual price Modi cations to key identi ers, such as changing all of the customer IDs The addition of new functionality that introduces new data This is usually done via a major enhancement to a system to add screens for additional input or the development of new modules Expansion of reference data to enable new and improved values for example, adding more transaction types to be more speci c about what business transaction occurred Changes to the underlying systems are made both to correct problems and to provide support for new features that are needed by the business Because the data warehouse often deals with multiple source systems, a steady stream of changes is usually occurring to keep the existing ETL system working Communication with each of the source system development teams can help ensure that the data warehouse is aware of the changes that are coming Even the most diligent and cooperative source system teams can forget about the data warehouse at times You need to be proactive with your communication so that everybody has a good understanding of what they are working.

There are all kinds of domain configuration options, problems, and perils, and all of those are explored in 3.

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