Apache's Hadoop project aims to solve these problems by providing a framework for running large data processing applications on clusters of commodity hardware. Combined with Amazon EC2 for running the application, and Amazon S3 for storing the data, we can run large jobs very economically. This paper describes how to use Amazon Web Services and Hadoop to run an ad hoc analysis on a large collection of web access logs that otherwise would have cost a prohibitive amount in either time or money.
Introduction This document describes how Map and Reduce operations are carried out in Hadoop. If you are not familiar with the Google [WWW] MapReduce programming model you should get acquainted with it first.
Failover clusters are used to ensure high availability of system services and applications even through crashes, hardware failures, and environmental mishaps. In this article, I'll show you how to implement a rock-solid two-node high availability Apache c