IBM Workload Scheduler Plug-in for Hadoop

IBM Workload Scheduler Plug-in for Hadoop

IBM Workload Scheduler provides three new plug-ins to simplify and automate your Apache Hadoop batch processing:
  • A Plug-in for Hadoop Mapreduce that allows you to define, schedule, monitor, and control the execution of Hadoop MapReduce procedures.
  • A Plug-in for Hadoop Distributed File System that allows you to access the Hadoop Distributed File System from any machine, and work on files and directories.
  • A Plug-in for Apache Hive Database that provides you with an SQL-like interface to Hadoop.
IBM Workload Scheduler maximizes the value of big data by integrating Hadoop processes with the rest of the enterprise workflow.

For more information about creating an Hadoop Mapreduce job, see Hadoop Map Reduce jobs.

See also the video tutorial IBM Workload Scheduler integration with Hadoop MapReduce.

For more information about creating an Hadoop Distributed File System job, see Hadoop Distributed File System jobs.