concave hull - Map reduce - hadoop - java

This project received 6 bids from talented freelancers with an average bid price of $1325 USD.

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Project requirements


* Fully understanding concave hull algorithm (there are different types: alpha shapes, etc..)

* Experience with Map Reduce over Hadoop (new API must), CDH 3 preffered

* Experience with hadoop

* Must be efficient and robust for large datasets (!)

* 2 weeks (more than enough for an experienced engineer with experience in this field)

Tools of the trade


* git <-- github will be provided

* hadoop <-- you will run on your LOCAL box, using pseudo distribution

* Map reduce

* java <-- algorithm will be written in java

* nix



* Input file: latitude , logitude per row

* Output file: concave hull - minimal fitted polygon

Work ethic


* Daily updates <----- MUST , regardless of progress

* Milestones <----- incremental OR all @ the end , upon delivery

* Skype

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