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License: MIT License
Contribute and collaborate on educational content for the Airbyte Community.
License: MIT License
Covid related
Blog post on using singer within airbyte to bootstrap. What we learned. Pros, cons.
Will try to take a stab at this in the next couple days.
Connectors: AWS Lambda, MongoDB, Google Analytics, Google Sheets, SendGrid, SFTP, Stripe
Destination: Google BigQuery
Business Intelligence Tool: Looker
Some data to report on:
Inspiration: https://fivetran.com/case-studies/case-study-branch-insurance
Request Details
What type tutorial/article would you like to see?
dbt allows a long list of configurations of materialization options:
https://docs.getdbt.com/reference/resource-configs/bigquery-configs
If a user exports the generated normalization project from a sync and re-import it as a custom operation, they should be able to edit and customize advanced configurations such as these (not only applicable to bigquery but to other destinations too)
Examples:
User requests here:
https://airbytehq.slack.com/archives/C01MFR03D5W/p1623396575421800
Distribution:
Source: Amplitude
Destination: Google BigQuery, Twilio (after creating segments on reverse ETL tool)
Reverse ETL tool: Hightouch / Census
My Request
What tutorial/article would you like to see?
Community vote
👍 Upvote if you like this idea
🚀 If you can make the tutorial/article!
Leveraging Powered by Airbyte to let user connect their own account on your platform
Sources: Salesforce, Zendesk, Asana, Jira, Google Analytics, Social Media, and more
Visualization: Superset or Cube.js?
Inspiration: https://fivetran.com/case-studies/case-study-aceyus-powered-by-fivetran
Source: Zendesk, Amplitude, Salesforce
Reverse ETL: back to Zendesk
Inspiration: https://segment.com/recipes/prioritize-support-tickets/
Some inspiration: https://fivetran.com/blog/build-vs-buy-by-the-numbers
Sources: Google Ads, Google Analytics 360, Google Sheets, Facebook Ads, Twitter Ads, Salesforce
Destination: Snowflake
BI Tool: Looker
Inspiration: https://fivetran.com/case-studies/case-study-ziff-davis
Some potential contributors prefer to see video tutorials instead of documentation articles, and see people actually show them exactly how to do things. We could also use the video to improve the documentation, and an article on external publications to show how building your own integration is going to be trivial using Airbyte, which is great for awareness towards our mission.
We ran into a lot of whacky java 8 stream issues early on in development. I think there's a light, fun article to write about some of the gotchas there.
Sources: Aurora MySQL, MongoDB, SQL Server
Destination: Snowflake
Business Intelligence Tool: Microsoft Power BI & others
Topics:
Inspiration: https://fivetran.com/case-studies/case-study-copyright
Some potential contributors prefer to see video tutorials instead of documentation articles, and see people actually show them exactly how to do things. We could also use the video to improve the documentation, and an article on external publications to show how building your own integration is going to be trivial using Airbyte, which is great for awareness towards our mission.
Some potential contributors prefer to see video tutorials instead of documentation articles. We could also use the video to improve the website. Building something is always something to be proud of, so we want to put our contributors' and users' work forward as much as possible. We want to help them as much as possible achieve whatever they want to achieve. Airbyte is above all an enabler.
It is important for new users to understand how easy it is to use Airbyte.
This tutorial should be published in several format to suit the preferences of our users: article, video.
It can help improve our documentation too.
We use contractors in various parts of our engineering works. I think our thought process here is interesting and would be worth reading. e.g. using contractors forces us to be really honest about what work we need to internally or whether we could do something higher leverage.
This was a bit inspired by the fact that I was trying to find something online on how to structure FE teams using contractors and I'm finding very little.
Would love to see a blogpost explaining what we're doing with K8s (needing to "wrap" a docker image at runtime in K8s; sidecar + socat). @davinchia @jrhizor . It seems like what we're doing here isn't super common, so it could be a cool go to article for people in similar situations.
This is a tutorial on which we will collaborate on with the MindsDB team. The agreement we reached is that we write the 1st part of the tutorial about: how to replicate data from Shopify to a Postgres database to save store info.
The MindsDB team will write about using MindsDB Ai Tables to train the model that will forecast the purchase order.
Inspiration:
Metrics that we would like to see in the dashboard:
PROMOTION TO DO
A quick video demo of what we have built in the last 2 months.
This would be the 1st video of a series of videos that we could publish every month with the new features/progress of the latest month. This could be a new approach to changelogs that we could publish on external publication platforms, such as dev.to.
Sources: Intercom, Google Analytics, LinkedIn Ads, Marketo, NetSuite, Salesforce, Stripe, Zuora
Destination: Snowflake
Visualization: Tableau
Inspirations:
A question that the community sometimes ask is why we chose Java, over Python, to build the platform.
Please note again that you can build your connector in whatever language you want.
Inspiration: https://preset.io/blog/2020-04-15-github-community-dashboard/
Metrics we'd like to see:
Finalize content:
https://airbyte.io/recipes/build-a-github-activity-dashboard-for-your-project
TO PROMOTE:
Sources: Zendesk, Salesforce
Reverse ETL: Census, back to Zendesk and Salesforce
Inspiration: https://segment.com/recipes/break-down-data-silos-between-sales-and-support/
Convert this written tutorial into a video, and post the video on top of the tutorial
https://docs.airbyte.io/tutorials/toy-connector
Request Details
We'll be doing some stuff around managing container lifecycles for sidecar-ish containers. I would have found this article useful this week.
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