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Best of Breed
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Considerations for buying best of breed products include the following: The ability to get the richest set of capabilities for the purpose Products are often nely tuned speci cally for data warehouse use The product may or may not work well (or at all) with other products The complexity of problem resolution increases because the offending vendor must rst acknowledge the problem There can be a lot of ngerpointing before you get down to debugging and resolving the problem
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End-to-End Solutions
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Considerations for buying end-to-end solutions include the following: Increased purchasing power with a single vendor Product integration should be solid You will not have the newest breakthrough technology in all areas Usually, there will be one or two critical areas in which you will gain signi cant capabilities These are likely the reason for the interest in using this vendor s products in the rst place
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N O T E Some end-to-end vendor solutions are created through acquisition and
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not by technical design Tool integration may be rough initially, but usually improves over time
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Part IV
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Building the Project
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Deciding Not to Buy a Tool
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Many smaller organizations still look at the price tag for some of these tools and decide to build the data warehouse themselves, rather than buy a speci c tool For example, extract, transform, and load routines could be written programmatically, or an organization could develop its own report creation and delivery system Sometimes a tool is purchased to perform one function, such as the end user data access, but other functions are developed in house Considerations for building your own data warehouse functionality include the following: Cost estimates do not adequately re ect the long-term maintenance of a solution that is custom developed Internal IT staff is usually inexperienced with software development for this type of functionality The results are static and few organizations continue to invest in developing new capabilities for the tool In-house development is usually the most expensive alternative in the long run
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Finding the Right Products
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The technical architecture clari es what types of functional software products are needed Sometimes the organization already owns and uses a product, such as a database management system If the organization has already been actively working on data warehousing, then enterprise standards may already exist for which products may be used While the goal is often to purchase (and support) only one product to provide each of the functions, this is rarely the case Organizations often support more than one relational database platform, and it is common to nd multiple data access tools in use Each organization must determine the costs and bene ts of supporting multiple tools and then act accordingly For a speci c project, product selection may default to simply utilizing products the company has already purchased Product selection may mean choosing between two or more enterprise-approved products In some cases, the project team may need to search for a new product
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N O T E Remember that the most important part of selecting any technology is
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having a clear understanding of what you are trying to accomplish
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With a clear set of functionality in mind, a short list of candidate products is usually easy to create Rather than look in detail at fty different products, the list can be reduced to a handful IT organizations are usually good at
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9
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Architecture, Infrastructure, and Tools
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looking at a technology, understanding it, and making recommendations The combination of business requirements and sound architecture help the IT team to make good decisions It is important to do the general research, conduct several in-depth reviews, and then make a decision quickly (measured in weeks, rather than months) Given the rate of change in the data warehouse market, if too much time is spent on research, new products and major enhancements will be released before a decision is made New features lure you into reevaluating a product, which can lead to a never-ending loop in which no product is ever purchased Pick a product that can help the organization today, and will likely work for the next several years We often can t imagine what might be available in the next ve years, so don t agonize over nding a single perfect product that will support the data warehouse for the next decade
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