Very large data-intensive applications such as data warehouses are excessively complex to design and deploy, and almost all architectural decisions have a lasting impact on longevity, performance and return on investment (ROI). In this article, we will examine one such important architectural decision – the data storage architecture.

Quantitatively speaking, the largest resource you need to build any large data warehouse is storage. Even though storage is the largest resource, corporations often do not spend enough time and energy on data storage architecture design. Most often, they adopt storage architectures which are often too conservative, too expensive, too simplistic or too risky. The most predominant reasons for these mistakes are the obsolete presumptions and prejudices that are carried forward by IT personnel. Let us examine a few of these prejudices.

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