We are using Map/Reduce to analyze raw XML as well as event activity streams, for example analyzing a collection of events and meta data to understand how discreet events relate to each other as well as patterns leading to certain outcomes. I am primarily using Ruby+Wukong via the Hadoop-Streaming interface as well as Hive to analyze output and for more normalized data problems.
The company is a large Fortune 500 P&C insurer and has a small (30 node) Cloudera 4 based cluster in heavy use by different R&D, analytic and technology groups within the company. Those other groups use a variety of toolsets in the environment, I know of Python, R, Java, Pig, Hive, Ruby in use as well as more traditional tools on the periphery in the BI and R&D spaces such as Microstrategy, Ab Initio, SAS, etc.
The company is a large Fortune 500 P&C insurer and has a small (30 node) Cloudera 4 based cluster in heavy use by different R&D, analytic and technology groups within the company. Those other groups use a variety of toolsets in the environment, I know of Python, R, Java, Pig, Hive, Ruby in use as well as more traditional tools on the periphery in the BI and R&D spaces such as Microstrategy, Ab Initio, SAS, etc.