Contributed by Patrick Garrity, St. Olaf College '12 and Timothy Yates, St. Olaf College '12. Maintained by Stephen Lee '14.
WebMapReduce is a simple web-based user interface for creating and submitting Hadoop Map-Reduce jobs in practically any language. It is ideally suited for use in the introductory computer science classroom, requiring very little programming experience to write massively parallel programs.
Languages Supported: Python, C++, Java, C, C#, Scheme
OS Compatibility: Windows, Mac OS, Linux
Physical Resource Support: Local Cluster, Remote Cluster, Cloud
Computational Model: Fully Distributed
Context of Use
WebMapReduce is utilized in the following modules:
Please Note: It is recommended to read the Administration Guide, available from the documentation page at the WebMapReduce site, before downloading the interface; this will help guide you through the process of downloading and installing WebMapReduce on various physical resource configurations.
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