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

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

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Information Technology (IT), Architecture

University

Hard

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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.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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