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Telemetry/Custom analysis with spark: Difference between revisions
Telemetry/Custom analysis with spark (view source)
Revision as of 15:15, 30 September 2016
, 30 September 2016Sharing Notebooks
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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]. | ||
=== Sharing a Notebook === | |||
Jupyter notebooks can be shared in a few different ways. | |||
==== Sharing a Static Notebook ==== | |||
An easy way to share is using a gist on github. | |||
# Download file as .ipynb | |||
# Upload to a gist on [http://gist.github.com gist.github.com] | |||
# Enter the gist URL at [http://nbviewer.jupyter.org/ Jupyter nbviewer] | |||
# Share with your colleagues! | |||
==== Sharing a Scheduled Notebook ==== | |||
Setup your scheduled notebook. After it's run, do the following: | |||
# Go to the 'Schedule a Spark job' tab in atmo | |||
# Get the URL for the notebook (under 'Currently Scheduled Jobs') | |||
# Paste that URL into [http://nbviewer.jupyter.org/ Jupyter nbviewer] | |||
== Using Spark == | == Using Spark == | ||