You may have designed your warehouse with scientific precision, but a number of factors such as the data loading process, query patterns and unexpected data volume growth can lead to performance degradation.
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The data I need is out there somewhere, but how do I find it? Data Warehousing provides easy access to the right data at the right time to the right users so that the right business decisions can be made. The Data Warehouse Process is a prescription for identifying strategic business information, collecting it from diverse, enterprise-wide sources, organizing it for instant access to all levels of users according to their specific needs, and implementing the architecture that makes it all possible.
This super-comprehensive project plan in Microsoft Word is chock full of information on how to plan and manage a data warehouse project. It covers the gamut in DW project planning and control activities and will teach you a lot about data warehouse architectures, tools, risk management, development activities, quality management and the like. Enjoy the read!
Are you putting together a data warehouse? This Microsoft Project plan will help you keep tabs on all the complex stages and steps involved in building decision support systems and a knowledge-based applications architecture and environment.
A handy spreadsheet for recording Data Warehouse QA issues, from data transformation to report generation problems.
Oops! isn't what your client wants to hear at the eleventh hour in the delivery cycle. Use this sample QA plan to verify that the data warehouse (or data mart) has been designed and built correctly before it undergoes user acceptance testing.
What is a data warehouse, how do I use it, and what's in it for me? How should you instruct and inform your data warehouse users on these subjects? Here is an informative paper on the inner workings of a data warehouse that was built to perform category management analysis for a retail grocery chain.
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.
There's a lot to consider when selecting a Data Warehouse toolset. Use this comprehensive tool evaluation matrix to guide your final selection.
How do you select the right vendor tools for building and implementing your data warehouse?