Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application Using Cloud Storage Triggers

This video tutorial guides you through developing and deploying a Python application using Google Cloud Functions. The app is triggered by uploading a CSV file to a Google Cloud Storage bucket, which then ingests the data into BigQuery. The tutorial covers setting up the environment, configuring the project, deploying the function, and testing it. Key tools and services include Event ARC, Functions Framework, and various GCP APIs.

How does the deployment command for the Cloud Function look like?

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What happens when a file is uploaded to the GCS bucket in relation to the Cloud Function?

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What steps should be taken if an API was missed during the deployment process?

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How can you verify if the file has been successfully ingested into BigQuery?

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