Perhaps you’ve discovered that your first-generation warehouse is constraining your business, or you’ve already modernized your infrastructure but found the new warehouse inefficient. For example, some solutions deliver speedy analytics only with constant tuning and administration. Other solutions perpetuate the costs and complexity that you want to leave behind.
Either way, it’s time to rethink your data warehouse approach.
The term logical data warehouse has been used to describe an approach that addresses some of these problems. The logical data warehouse breaks the function of the traditional data warehouse into logical blocks, with each block chosen for the particular characteristics of the data it is working with or the analytics required.
While any number of reasons can prompt a change in data warehouse solutions, there are four key facts you need to know to help you make the right choice:
This white paper explores those facts and explains why they are essential when evaluating your data warehouse options.
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