Last year the Data Warehouse was on the endangered species list. A number of Hive solutions were being marketed as the Data Warehouse killers. However, this message has been muted this year and is evidenced by some developing trends. First, all of the mega-vendors have announced technologies to access data in Hadoop. Oracle and IBM in particular have specific optimizations and agents, that turn their core SQL on Hadoop offering into 
a virtual data warehouse.
The Future of Big Data
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The big vendors are essentially just offloading the storage of data to HDFS. Next, the primary front-end applications on display were analytic vendors like SAS, Datameer, and Revolution R. Other than Microstrategy, we did not see BI vendors coming forward with reporting and dashboard solutions targeted at Big Data. This would suggest that BI vendors still believe that they are better served by traditional warehouse approaches (at least for now.) The result of these trends, one can see the evolution of the modern data architecture.
The virtualization capabilities combined with in-memory database solutions to serve the traditional BI use-cases and analytic tools directly accessing Hadoop for data discovery, visualization, and analytics.
