Thus, Hadoop has often been used for implementing ETL processes (see “Data Warehousing”): data from transaction processing systems is dumped into the distributed filesystem in some raw form, and then MapReduce jobs are written to clean up that data, transform it into a relational form, and import it into an MPP data warehouse for analytic purposes.
