This document discusses how a leading US retailer used Hadoop to improve their data analytics capabilities. They used Sqoop to extract data from their Teradata database into Hadoop. Hive was used to transform and aggregate the large volumes of data. Hive and MongoDB were also integrated to facilitate large aggregations with minimal impact on reporting. This Hadoop solution provided more efficient data migration and quicker data aggregation compared to their previous system, and was much more cost effective.