This project is an end-to-end Data Engineering solution utilizing Spark, Kafka, Airflow, Docker, Cassandra, and Python. It fetches data from an API via scheduled scripts, sends it to Kafka using Airflow, processes it with Spark Structured Streaming, and stores it in Cassandra.
active 2024-06-30 → 2024-06-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-06-30 to 2024-06-30. Pushes: 0 total, peak 0 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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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.