I Want to Write a Map Reduce Job to Separate Large PDF 1gb File into?

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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?

Map Reduce is the way to distribute programs across a cluster to enable working on large data sets. It takes care of how the input data is split for processing across the cluster, and how results are aggregated. Hadoop Map Reduce is an open source implementation. Elastic Map Reduce is Amazon's platform which gives a hadoop as a service deployment so that you dont have to install hadoop and can just write and run your map reduce application on the cloud.

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You can write your program on the cloud, deploy it, and then query results back to Amazon. Amazon Elastic Map Reduce is built on top of AWS Kinesis. Kinesis allows you to ingest, process, analyze, and transform data across resources, providing seamless, reliable, and predictable access. Hadoop Map Reduce is an open source implementation of Hadoop Map Reduce implemented by The Hadoop Software Foundation, Inc. The Hadoop Map Reduce Framework What is Hadoop Map Reduce? What is the Hadoop Map Reduce Framework? HADOOP+ Map Reduce Hadoop has many features and functions to help you in your computing tasks. In the map reduce framework, you can leverage these features to simplify your processing operations. However, it takes several steps to use Hadoop Map Reduce effectively. The Hadoop Map Reduce Framework is an open source framework built by The Hadoop Software Foundation in Java that enables you to use the tools in Hadoop to.