The project showcases a robust real-time data pipeline integrating Confluent Kafka, MySQL, and Avro serialization to facilitate seamless and immediate processing of e-commerce updates. The pipeline enables efficient streaming, transformation, and storage of incremental data updates for downstream analytics and business intelligence.
active 2024-01-04 → 2024-01-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-01-04 to 2024-01-05. Pushes: 8 total, peak 6 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 |
|---|---|---|---|---|
| KRISHNASAIRAJ | 8 | 8 | 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.