Details the first ever Exabyte-scale system that can hold a Trillion large files. Describes MapR's Distributed NameNode (tm) architecture, and how it scales very easily and seamlessly. Shows map-reduce performance across a variety of benchmarks like dfsio, pig-mix, nnbench, terasort and YCSB.
![Design, Scale and Performance of MapR's Distribution for Hadoop](https://cdn-ak-scissors.b.st-hatena.com/image/square/758d09fb0a3c8c9d2849903a5b90bbf5a0c29c6a/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fhadoopsummit2011-srivas-v5-110708193400-phpapp01-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)