Need to plan a data warehouse project? This synopsis outlines the steps, deliverables and team roles for strategizing, architecting, designing and planning the implementation of a data warehouse.
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How do you select the best data extraction/transformation toolset for your data warehouse? Evaluate features, functionality, vendor reputation... the works. Follow the example set by this robust tool evaluation.
There's a lot to consider when selecting a Data Warehouse toolset. Use this comprehensive tool evaluation matrix to guide your final selection.
A necessary step in both selecting and implementing a package is detailing the technical requirements required to run the application. Identify the hardware/software environment, interfacing systems, operational and backup procedures, and other key technical requirements.
This matrix will help you define the changes you'll have to make to the existing hardware/software environment so that the application package will work properly.
Specify what your application package testing environment should consist of and how it should be configured.
Know the technical foundation on which you will be setting up your application package -- do a gap assessment of the existing and new technical environment.
Make sure there is clear documentation on how to install and, if necessary, remove all system components.
Itemize the software and middleware tools, hardware components and communication components that comprise your technical architecture, with justification for choosing each.
Compare conferencing packages by the features they offer and select the package that fits your needs.