Is Hadoop the death of data warehousing?

The Hadoop ecosystem has exploded in the last three years with major IT vendors announcing a connector to Hadoop, an augmentation on top of Hadoop or their own “enterprise-ready” distribution of Hadoop. Given that Hadoop is on such an exponential rise in adoption and its ecosystem is expanding in both depth and breadth, it is natural to ask whether Hadoop’s ascension will cause the demise of traditional data warehousing solutions.
Another way to put this question is to look at it in a bigger context: To what extent is big data changing the traditional data analytics landscape? Data warehousing is a set of techniques and software to enable the collection of data from operational systems, the integration and harmonization of that data into a centralized database and then the analysis, visualization and tracking of key performance indicators on a dashboard.

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