Seamless Data Integration: ETL from Google Cloud Storage Bucket to BigQuery with Cloud Functions

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In this video, we delve into the process of extracting, transforming, and loading (ETL) data from a Google Cloud Storage (GCS) bucket into BigQuery using Cloud Functions. We explore how to seamlessly integrate these powerful Google Cloud services to enable efficient data management and analysis.

Throughout the video, we demonstrate step-by-step instructions on setting up the ETL pipeline. We cover topics such as configuring access permissions, creating triggers for automated data ingestion, and implementing transformation logic using Cloud Functions.

By the end of this tutorial, viewers will have a clear understanding of how to leverage the capabilities of Google Cloud Storage, BigQuery, and Cloud Functions to orchestrate a reliable and scalable ETL process. Whether you're a data engineer, analyst, or developer, this video will equip you with the knowledge to streamline data workflows and maximize the potential of your Google Cloud infrastructure.

Repo link : https://github.com/RekhuGopal/PythonH...

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