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Ingesting Data Into The Cloud Using Google Cloud Functions

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Create a new Cloud Storage bucket

Ingest data files to the storage bucket

Deploy a Cloud Function

Use Cloud Scheduler to ingest data with a Cloud Function

Ingesting Data Into The Cloud Using Google Cloud Functions

1시간 15분 크레딧 5개

GSP688

Google Cloud Self-Paced Labs

Overview

This lab demonstrates how to use local Python scripts to retrieve data from the US Bureau of Transport Statistics website, then modify the scripts so they can be run using Cloud Functions.

You will configure then schedule these Cloud Function to periodically fetch new data using Google Cloud Scheduler. Google Cloud Scheduler can be used to run a scheduled Cloud Function task to import and sanitize data that is periodically updated in order to maintain an up-to-date active data set for analysis. This dataset can be used to demonstrate a wide range of data science concepts and techniques and will be used in all of the other labs in the Data Science on Google Cloud Platform quest.

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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