https://github.com/radanalyticsio/pyspark-s3-notebook
A simple Jupyter notebook to demonstrate techniques for connecting your application to data in s3
https://github.com/radanalyticsio/pyspark-s3-notebook
Last synced: about 1 year ago
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A simple Jupyter notebook to demonstrate techniques for connecting your application to data in s3
- Host: GitHub
- URL: https://github.com/radanalyticsio/pyspark-s3-notebook
- Owner: radanalyticsio
- Created: 2017-04-17T13:34:27.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-18T14:56:49.000Z (about 9 years ago)
- Last Synced: 2025-03-22T04:02:08.602Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 20.5 KB
- Stars: 3
- Watchers: 4
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# pyspark-s3-notebook
A simple Jupyter notebook to demonstrate techniques for connecting your application to data in s3
## OpenShift quick start
1. Create the notebook in your project
```bash
oc new-app https://github.com/radanalyticsio/pyspark-s3-notebook -e JUPYTER_NOTEBOOK_PASSWORD=secret
```
1. Expose a route to the notebook
```bash
oc expose svc/pyspark-s3-notebook
```
1. Visit the exposed route with your web browser, when prompted enter the
password "secret"