added partially complete EMR documentation

Sparking_Water_EMR_instructions.md

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+## Instructions
+
+Log into AWS and go to the EMR console. Create an EMR Spark cluster. I chose emr-4.7.1, since it comes with Spark 1.6.1, which is compatible with the latest version of H2O's Sparkling Water. I chose 8 m3.xlarge instances, which right now are $0.27 per instance per hour. Make sure you select security groups that let you ssh into the servers. 
+
+Run thes
+
+	# Log in as Hadoop user and make ec2-user directories
+	# If you don't do this step your Spark code will immediately fail with permission issues
+	sudo su
+	su hadoop
+	hadoop fs -mkdir -p /user/ec2-user
+	hadoop fs -chown ec2-user /user/ec2-user
+
+	# Now back to being ec2-user
+
+	# Download Sparking Water to /home/ec2-user/
+	wget http://h2o-release.s3.amazonaws.com/sparkling-water/rel-1.6/8/sparkling-water-1.6.8.zip
+
+	# Unzip the file
+	unzip sparkling-water-1.6.8.zip
+
+	sudo pip install h2o_pysparkling_1.6
+	sudo pip install tabulate
+	sudo pip install six
+	sudo pip install future
+
+	export SPARK_HOME=/usr/lib/spark
+	export HADOOP_CONF_DIR=/etc/hadoop/conf
+	export MASTER="yarn-client"
+
+	# Start up pysparking
+	/home/ec2-user/sparkling-water-1.6.8/bin/pysparkling