Hadoop Summit 2012 | Optimizing MapReduce Job Performance  Hear
practical tips, guidelines, and rules of thumb for better
MapReduce job performance.  Date: Monday, Jun 18 2012
Optimizing MapReduce job performance is often seen as something
of a black art. In order to maximize performance, developers
need to understand the inner workings of the MapReduce execution
framework and how they are affected by various configuration
parameters and MR design patterns. The talk will illustrate the
underlying mechanics of job and task execution, including the
map side sort/spill, the shuffle, and the reduce side merge, and
then explain how different job configuration parameters and job
design strategies affect the performance of these operations.
Though the talk will cover internals, it will also provide
practical tips, guidelines, and rules of thumb for better job
performance. The talk is primarily targeted towards developers
directly using the MapReduce API, though will also include some
tips for users of higher level