• Under the Go menu of Siat Cloud Website, Click Siat Cluster
• Login to SIAT cloud with the provided credentials

• Under the Go menu of Siat Cloud Website, point to Console, and then click your desired Console
• Login with the provided credentials

• Click panel icon on the right hand corner, then click Files View
• You will new be redirected to Files View
• Here, you can create, delete, manage files and directories. You can also Upload your data from this panel
• Navigate to directory where you want to upload data, create a directory if you need
• Click Upload, in the upload panel, select the files from your computer to upload. They will be uploaded

• Select the file you want to delete
• From the toolbar, press delete

• To run your code in distributed environment, create jar of your code
• Create a folder for yourself with your name under /usr/jars directory
• Upload the jar file to your user folder

• Login to console (http://node1.siat.kr/console/) with the provided method earlier
• cd to directory /user/hdp/current/spark2-client
• Use ./bin/spark-submit to run spark jobs as shown in the example below

• In the SIAT Cluster Main page, goto Yarn, and then click ResourceManager UI
• From the menu, click Applications. Here you can view and manage all the jobs
• To view a job detail, click on the job Application ID in the spark jobs list
• To view the history, click History. To view details, click ApplicationMaster
• Now you can view the complete details of the job
• To view the Executors, click Executors from the menu
• Now you can view all the executors of a particular job
• To view the Log of a particular job, click Log in the Spark Job Details page
• Now you can view the complete log of a particular Spark Job