Over the weekend I’ve read two papers presenting products or research related to improving or adding new capabilities to the MapReduce data processing approach. The first of them comes from a team at Microsoft and is describing TiMR a time-oriented data processing system in MapReduce. The second, from a team at Google, presents Tenzin - a SQL implementation on the MapReduce framework. It’s great to learn that while the Hadoop community is eliminating some of the initial limitations and hardening the technical details of the platform, there are already ideas and systems out there that augment the capabilities of the MapReduce data processing model.
Original title and link: Research in the MapReduce Space ( ©myNoSQL)