Most large organizations depend on an enterprise data warehouse (EDW) to fulfill most of their analytic requirements. And many small to mid sized organizations would like to implement EDWs, but the cost and complexity of doing so keeps them from so and settle for BI tools strategies.
The problem is that most EDWs are based on expensive and highly structured twentieth-century technology and optimized for recurring analytic questions, many of them expressed in OLAP-based reports. We could argue that most EDWs have lost their analytic effectiveness as they’ve evolved into reporting databases. Hence, there’s a need for analytic databases that complement (and sometimes replace) EDWs by supporting free-form, ad hoc analysis against multi-terabyte data stores of mostly source data in simple data models.
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