ETL off-load to Hadoop

http://hortonworks.com/wp-content/uploads/2014/03/Whitepaper-Apache-Hadoop-Modern-Data-Architecture.pdf
Data Warehouse Workload Optimization. The scope of tasks being executed by the EDW has grown considerably across ETL, Analytics and Operations. The ETL function is a relatively low-value computing workload that can be performed on in a much lower cost manner. Many users off-load this function to Hadoop, wherein data is extracted, transformed and then the results are loaded into the data warehouse.
The result: critical CPU cycles and storage space can be freed up from the data warehouse, enabling it to perform the truly high value functions – Analytics and Operations – that best leverage its advanced capabilities.

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