Hadoop
https://docs.rc.uab.edu/
Please use the new documentation url https://docs.rc.uab.edu/ for all Research Computing documentation needs.
As a result of this move, we have deprecated use of this wiki for documentation. We are providing read-only access to the content to facilitate migration of bookmarks and to serve as an historical record. All content updates should be made at the new documentation site. The original wiki will not receive further updates.
Thank you,
The Research Computing Team
Apache Hadoop is a software framework that supports data-intensive distributed applications under a free license. "Hadoop is a framework for running applications on large clusters of commodity hardware. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm named map/reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides a distributed file system that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both map/reduce and the distributed file system are designed so that node failures are automatically handled by the framework." Hadoop Overview</ref> It enables applications to work with thousands of nodes and petabytes of data. Hadoop was inspired by Googles's MapReduce and Google File System (GFS) papers.