airbytehq / airbytehq/quickstarts

Social Media Insight Stack

Open
#45 9 comments 0 reactions 0 assignees View on GitHub
hacktoberfest help wanted
Dominant language
Jupyter Notebook
Stars
216
Forks
47
PR merge metrics
No merged PRs in 30d

Description

Extract recent data from a social media platform (e.g., recent tweets or posts), load into a data warehouse with Airbyte, and perform quick sentiment analysis.

How to get started:

- Check out the [README](https://github.com/airbytehq/quickstarts/tree/main) and the [Contribution instructions](https://github.com/airbytehq/quickstarts/blob/main/CONTRIBUTING.md) in this repo.
- Check one of the [existing quickstarts](https://github.com/airbytehq/quickstarts#list-of-available-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](https://github.com/airbytehq/quickstarts/tree/main/ecommerce_analytics_bigquery)

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.