39
edits
Changes
→Schedule a periodic job
## Set a schedule frequency using the remaining fields.
Now, the notebook will be updated automatically and the results can be easily shared. Furthermore, all files stored in the notebook's local working directory at the end of the job will be automatically uploaded to S3, which comes in handy for simple ETL workloads for example.
For reference, see [https://robertovitillo.com/2015/03/13/simple-dashboards-with-scheduled-spark-jobs-and-plotly Simple Dashboard with Scheduled Spark Jobs and Plotly].
