3 ms·
You should just read the (very readable) MapReduce paper, rather than content-free blog posts like this one.
by neilc 17y ago
You should just read the (very readable) MapReduce paper, rather than content-free blog posts like this one.
- pgbovine 17y ago(playing devil's advocate here) there is a big overhead in printing out a 10-14 page 2-column academic paper and actually bothering to read it, no matter how easy-to-read it might be ... blog posts could be good teasers to generate interest and get people motivated to read the real papers.
- bravura 17y agoAnd you should avoid "tiny" and other homebrewed Map/Reduce implementations for any serious work. This advice according to Prof. Jimmy Lin during his "Data-Intensive Text Processing with MapReduce" tutorial that I took at the NAACL/HLT natural language processing conference: http://www.umiacs.umd.edu/~jimmylin/cloud-computing/NAACL-HLT-2009/index.html http://www.umiacs.umd.edu/~jimmylin/cloud-computing/NAACL-HL...
- sunkencity 17y agoTiny mapreduce implementations are for learning. I find that to really understand fancy concept X, or fancy framework X in new language Y, I need to port it to a language I know well or re-write parts of it.