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  Is Data Warehouse still relevant in the age of Big Data?

The original intent of the data warehouse was to segregate analytical operations from mainframe transaction processing in order to avoid slowdowns in transaction response times, and minimize the increased CPU costs accrued by running ad-hoc queries and creating and distributing reports. Over time, the enterprise data warehouse became a core component of information architectures, and it's now rare to find a mature business that doesn't employ some form of an EDW or a collection of smaller data marts to support business intelligence, reporting and analytics applications.

In this lecture we see what will be the future of Data warehouse in the age of Big Data.