Welcome to Beam Learning Month's repository! Here, you will find links to the recordings and source files that were used during the presentations.
If you have an interesting use case with Apache Beam and would like to speak at future webinars, please reach out to Aijamal at [email protected] with your talk details.
If you have feedback on on how to improve Apache Beam and these webinars, please fill out this form. We will use your feedback to prepare future webinar content and prioritize feature requests in Apache Beam.
We also created a #beamlearningmonth-05-2020 Slack channel if you want to connect to other attendees of the Beam Learning Month and have further discussions on Beam.
In this presentation, Sam Rohde and Ning Kang introduced Apache Beam using Jupyter Notebooks by live coding a batch pipeline using publicly available COVID-19 data.
They also had prepared a streaming pipeline, but due to time constraints, they couldn't present it. Nonetheless, they made the code available.
- Recorded session on Youtube
- Presentation slides
- A colab that you can use to run the examples
- README on Interactive Beam and examples.
- Link to the presentation (make sure to give “view” access to the world)
- Source files that were used during the presentation/demo
- Links to additional colabs, related talks or README files
Add your webinar to this file like this:
## Webinar (N): (TITLE)
In this section, write a brief description of your talk, and provide speaker information.
### Materials
- [Recoded session on Youtube](LINK)
- [Slides from their presentation](LINK)
- [Code](LINK)
Share your upcoming session on LinkedIn or Twitter and tag @ApacheBeam twitter handle or use #ApacheBeam hashtags.