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https://github.com/seilylook/cryptocurrency-data-pipeline

This project involved the integration of several cutting-edge technologies to ensure efficient data processing and management for Cryptocurrency analytics.
https://github.com/seilylook/cryptocurrency-data-pipeline

airflow crpyto hdfs hive hue livy postgresql spark

Last synced: 8 months ago
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This project involved the integration of several cutting-edge technologies to ensure efficient data processing and management for Cryptocurrency analytics.

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# Flow chart of the Cryptocurrency Data Pipeline

1. Check availability of Cryptocurrency cost in CoinMarketCap
2. Download top 10th Cryptocurrency(ex. BTC, ETH) cost with python
4. Save the Cryptocurrency cost in HDFS
5. Create a hive table to store Cryptocurrency cost from the HDFS
6. Process Cryptocurrency cost with Spark
7. Send an email notificatoin