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And you should avoid "tiny" and other homebrewed Map/Reduce implementations for any serious work. This advice according to Prof. Jimmy Lin during his "Data-Inte
by bravura 17y ago
And 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.