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gcs-bucket

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An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect

  • Updated Apr 29, 2023
  • Python

Creating a robust and scalable data pipeline on Google Cloud Platform (GCP) to monitor and analyze stock performance. Leveraging the power of GCP's data processing and storage services, a comprehensive solution has been built to efficiently collect, process, and visualize stock data.

  • Updated Sep 7, 2023
  • Python

This project aims to migrate data from MongoDB to Google Cloud Storage (GCS) and BigQuery automatically. It enables businesses to easily transfer and analyze the data in the cloud, improving data and cost management.

  • Updated Jun 30, 2023
  • Python

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