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Migration of Python app to Amazon Elastic MapReduce

Enable a Python application to run in [][1][Amazon Elastic MapReduce][1] environment by modifying well-documented and well-structured source-code.

The original application was developed to retrieve Wikimapia information and designed to enable proto-parallel processing: it can subdivide one task in order to run it in parallel in multiple computers and then collates the results. However, it was not developed to take advantage of [][2][Hadoop][2].

## Deliverables

# Preliminary Analysis:

Amazon provides an extended example on how to distribute Python processes ??" check [][3][Finding Similar Items with Amazon Elastic MapReduce, Python, and Hadoop Streaming][4]? to get an idea of the desired result.

The application to adapt has fewer than 900 lines. See attached [[url removed, login to view]] for original project requirements - which were achieved superbly? - and the signatures of the two components that comprise the working application.

# Required Knowledge:

Familiarity with Hadoop and Amazon AWS is essential. Although Amazon Elastic MapReduce was just deployed, anyone with experience with Hadoop will pick it up fast. Some experience with [][5][Hadoop Streaming][5] is a plus.

At ease with Python: some modifications to the original code will have to be made but it will mostly require being able to reorganize the code for Hadoop processing.

# Deliverables:

# 1. Modified Python scripts to run in Amazon Elastic MapReduce;

2. Documentation and working examples on how to use the scripts in Amazon Elastic MapReduce.

Evner: Amazon Web Services, Ingeniørarbejde, Linux, MySQL, PHP, Software Arkitektur, Software Testning, Web Hosting, Hjemmeside Management, Hjemmeside Testning

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( 2 bedømmelser ) Dubai, United Arab Emirates

Projekt ID: #3803076

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