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Telemetry/Custom analysis with spark: Difference between revisions
Telemetry/Custom analysis with spark (view source)
Revision as of 12:40, 17 October 2016
, 17 October 2016→Schedule a periodic job
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## Set a schedule frequency using the remaining fields. | ## 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 for example. | 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]. | 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]. | ||