Neighbours finding

Cancelado Publicado hace 7 años Pagado a la entrega
Cancelado Pagado a la entrega

In this project, you are asked to work on the MapReduce framework. From the lecture, that you need to refer to, MapReduce is one of important techniques to solve Big Data problems.

Mainly, it has two main phases; namely Map phase and Reduce phase. In each one of these, you have sub-phases. Briefly, on a cluster of nodes/cores, during the Map phase, the cluster nodes running the map program should emit key-value pairs based on the split chunks of the input file. These key-value pairs will be consumed by the cluster nodes running the reduce program. The reduce component usually summarizes the data received by the map phase to produce the final output after the combining the output coming from several nodes.

plz see the attached file

Java

Nº del proyecto: #11867804

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4 propuestas Proyecto remoto Activo hace 7 años

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bsa580bff683c2c3

I have taken a course in ASU called Distributed Data base systems in which I have worked mostly on hadoop and spark. Moreover I employed my machine learning algorithms in Hadoop for IBM summer intern project.

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manas1989

I have worked on many of this kind of projects. I can provide solution in shortest period of time. ** Peace **

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4 freelancers están ofertando un promedio de $20 por este trabajo

nishantsingh0907

A proposal has not yet been provided

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iyersume

HI, I have expertise in Mapreduce and Java, and can provide the code as required in Project. Hope to have a chance to work with you on this. I will need the network file before we start the work. Thanks!

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