Data warehouses are at the core of many information driven business initiatives. They’re used to store large volumes of historical data which can then be used in business intelligence projects to create knowledge-based reporting. But a data warehouse isn’t just a single, huge repository of data, they come in a number of different types. What they all have in common is that they’re separate from day-to-day operational systems. Data is uploaded to a warehouse after it has served its primary purpose, so that it can be used for statistical analysis and decision support, once out of date for this purpose… [Continue Reading]
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