In most data warehouse (DW) literature, metadata is usually identified as one of the key components for a successful data warehouse solution. However, when organizations are forced to cut costs, metadata is usually one of the first initiatives to end up on the cutting room floor.
Why does metadata have such a bad reputation? And why is metadata considered an optional component? More often than not, organizations’ metadata strategies are either completely removed from scope, or cut back to the extent that they miss out on the opportunity to track the success of their warehouse
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