This project demonstrates a data engineering pipeline using Prefect for orchestration, RapidAPI for data ingestion, and cloud storage (GCS, S3, or BigQuery) for storing and managing processed data. It includes real-time data fetching, processing, and visualization integration with Looker Studio or custom tools.
active 2024-10-24 → 2024-10-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-10-24 to 2024-10-25. Pushes: 6 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| gradedSystem | 6 | 6 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.