Note: this is a personal blog post, and doesn’t reflect the views of my employers at Cloudera
Map-Reduce is on its way out. But we shouldn’t measure its importance in the number of bytes it crunches, but the fundamental shift in data processing architectures it helped popularise.
This morning, at their I/O Conference, Google revealed that they’re not using Map-Reduce to process data internally at all any more.
We shouldn’t be surprised. The writing has been on the wall for Map-Reduce for some time. The truth is that Map-Reduce as a processing paradigm continues to be severely restrictive, and is no more than a subset of richer processing systems.