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https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
Last synced: 21 days ago
JSON representation
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
- Host: GitHub
- URL: https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
- Owner: nadahamdy217
- Created: 2024-08-14T19:18:03.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-24T19:25:36.000Z (2 months ago)
- Last Synced: 2024-10-15T17:29:07.293Z (21 days ago)
- Topics: analytics, data, data-engineering, data-ingestion, data-preparation, data-preprocessing, data-processing, data-project, docker, etl, etl-pipeline, gcp, matplotlib, matplotlib-pyplot, numpy, pandas, pubsub, python, scipy, seaborn
- Language: Python
- Homepage:
- Size: 1.17 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md