quickstarts
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airbytehq
Feature Usage Analysis Stack
Tracking Product Feature Usage with Event Data.
Employ Airbyte to extract event data from product analytics tools, transform the data using dbt, and analyze feature usage to enhance product development.
How to get started:
- Check out the README and the Contribution instructions in this repo.
- Check one of the existing quickstarts and observe their structure.
- (Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with E-commerce analytics in BigQuery
Hi @aweash, this message is just to remind you that according to the Hackathon rules you have 5 days to submit progress on the issue. I’ll give you a couple more days to submit a PR, otherwise I’ll have to mark the issue as “To be Claimed” or reassign it.
Thank you for understanding! Let me know if you have any questions.
Oh, I didn't know that. Thanks, @ThaliaBarrera I'll start the work tomorrow and post an update the next day. Also, I've seen another issue marked as done and merged(Postgres replication stack) which followed the same template as available quickstart on the official website. Should I follow the same template, or can I add my thoughts here and there in the article?
You can certainly add your thoughts @aweash! You don’t have to follow the template, that’s just an example. I look forward to reviewing your submission.
Sorry @ThaliaBarrera I don't think I'll be able to work on this. Please assign this to someone else.
I am unassigning this issue as there has been no progress in the last 5 days. This is now open!