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This twiki is setup to help diagnose and solve some typical Hadoop issues. It is often useful to run the FUSE mount in debug mode to identify specific errors and problems with the FUSE mount. /usr/bin/hdfs -o server=namenode.fqdn,port=9000,rdbuffer=131072,allow_other -d /mnt/hadoop/ Note the use of the -d switch to put the mount in debug mode. CTRL-C to quit the mount after testing. Sometimes diagnosing gridftp server or hadoop errors require you to run the standalone gridftp server which runs in a debug mode.
As more and more companies discover the power of Hadoop and how it solves complex analytical problems it seems that there is a growing interest to quickly prototype new solutions - possibly on short lived or "throw away" cluster setups. Amazon's EC2 provides an ideal platform for such prototyping and there are a lot of great resources on how this can be done. I would like to mention " Tracking Trends with Hadoop and Hive on EC2 " on the Cloudera Blog by Pete Skomoroch and " Running Hadoop MapReduce on Amazon EC2 and Amazon S3 " by Tom White.
Apache Hadoop platform is becoming more and more popular for solving large scale data mining problems. It quickly gains popularity as a tool which simplifies enterprises to manage and process Big Data. In some use cases, when you have burst or recurring profile of workload, leveraging cloud computing on-demand model becomes very attractive.
pointer to finding .20.* AMI's on EC2 by Jan 25
Amazon EC2 (Elastic Compute Cloud) is a computing service. One allocates a set of hosts, and runs one's application on them, then, when done, de-allocates the hosts. Billing is hourly per host.
First Steps to do in Running EC2 by Jan 25