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1. Use the AWS console to create and download an a new SSH key named SageKeyPair and store
2. Download it in to your home directory on the shared servers
3. Fix the permissions on it

   Code Block
   chmod 600 SageKeyPair.pem

Configure S3

1. Use the AWS console to make a new S3 bucket named sagetest-YourUsername and make these four subdirectories
   1. scripts
   2. input
   3. output
   4. results
   5. logs

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1. ssh to belltown
2. Create the configuration file for the Elastic Map Reduce command line tool

   Code Block
   ~>cat YourUsername$USER-credentials.json { "access_id": "YourAccessKeyID", "private_key": "YourSecretAccessKey", "keypair": "SageKeyPair", "key-pair-file": "/home/$user~/SageKeyPair.pem", "log_uri": "s3n://sagetest-YourUsername/logs/", "region": "us-east-1" }

3. Test that you can run it

   Code Block

   ~>/work/platform/bin/elastic-mapreduce-cli/elastic-mapreduce --credentials ~/$USER-credentials.json --help Usage: elastic-mapreduce [options] Creating Job Flows --create Create a new job flow --name NAME The name of the job flow being created --alive Create a job flow that stays running even though it has executed all its steps --with-termination-protection Create a job with termination protection (default is no termination protection) --num-instances NUM Number of instances in the job flow ...