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I want to write a map reduce job to separate large pdf 1GB file into sub pdf files with the give range of page numbers . suggest me how to implement this .. what to write in mappers and reducers?
Though Map-Reduce (MR) is implemented widely using Hadoop HBase, it is also being implemented now by various tools and incorporated in languages itself, like you pointed. MongoDB provides a partial implementation of MR. Java 8 now provides MR using concept of streams to execute in parallel and make use of multiple cores simultaneously. In Hadoop HBase MR addresses a vast array of problems requiring analysis.
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Is there any chance that you're looking at MongoDB directly, and want to contribute the core? At the moment, HBase isn't very active in Apache and no one is doing any open source work right now. A lot has happened with HBase; we just saw a lot of people using HBase — for example, it is used today for predictive analytics. We have some HBase users — and they are people who already use Produce. There is quite a bit of work for people who want Produce, but not for parallelism like Hadoop. If a company uses Map/Reduce-style tools, they need to understand the problems they are solving, and make sure a Map/Reduce implementation can deliver the desired level of performance. So, there's a huge amount of research that needs to take place. What have you observed during your research on Java's Hadoop? With Java 8, there is.
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