I开发者_运维问答 am developing a distributed processing API in Java, Erlang and Ruby. What basic commands can I include from which I can build mapreduce, pipelining, and all the most used parallell al
I am looking for a map/reduce function to calculate the status in a Design Document. Below you can see an example document from my curren开发者_如何学编程t database.
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I have been learning the mapreduce algorithm and how it can potentia开发者_StackOverflow中文版lly scale to millions of machines, but I don\'t understand how the sorting of the intermediate keys after
开发者_开发技巧I am looking at using a MapReduce system to serve web pages and I have seen that load balancers are already used for distributing web page requests. Is there any reason that a map reduc
I\'m getting into parallel programming and I\'m studying mapreduce and other distributed algorithms. Is it best just t开发者_StackOverflow社区o learn mapreduce or is there a more general algorithm tha
I am asking this as I am wondering if it could be efficient to run mapreduce queries over a database or a shared keyvalue store?
Could mapreduce be used to implement a web开发者_StackOverflow中文版server? I\'m thinking something like when a request comes in then the request sits on a queue, until a server is free to process it
I need t开发者_如何学Pythono do a project on Computational Linguistics course. Is there any interesting \"linguistic\" problem which is data intensive enough to work on using Hadoop map reduce. Soluti
Is the following architecture possible in Hadoop MapReduce? A distributed key-value store is used (HBase). So along with values, there would be a timestamp associated with the values. Map & Reduc
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