GOAL - Load sample trucking data into HDFS for use by subsequent demos
PREREQUISITE - Sandbox Setup
SEE ALSO - This demo is based on the publicly-available Loading Data into HDFS Hortonworks tutorial
RECORDED DEMO
PRIOR DEMO CLEANUP - Cleanup
For all the demos in this Essentials course, we are focused on a trucking company example. Save the Geolocation.zip file to your local disk drive and unzip it. You should now find the following files.
- geolocation.csv – This is the collected geolocation data from the trucks. it contains records showing truck location, date, time, type of event, speed, etc.
- trucks.csv – This is data was exported from a relational database and it shows info on truck model, driverid, truckid, and aggregated mileage info.
With a properly configured Sandbox Setup you can
use userid maria_dev with password of maria_dev when logging into Ambari.
Once you get to the Dashboard, click on the "Ambari View" icon that is
just to the left of the users' name in the upper right corner of the UI as
shown in the following screenshot.
Clicking on HDFS Files brings up the file viewer.
At this point, it should be self-explanatory how to upload these two
files into a new geolocation subdirectory of Maria's home directory
of /user/maria_dev.
Be sure to showcase the new right-click popup menu.