Ingesting Data Into The Cloud Using Google App Engine
This lab demonstrates how to use local Python scripts to retrieve data from the US Bureau of Transport Statistics website, then modify the data so they can be run using Google App Engine.
You will configure scheduled tasks on Google App Engine to run the Python scripts periodically. Google App Engine can be used to run a scheduled 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.
Join Qwiklabs to read the rest of this lab...and more!
- Get temporary access to the Google Cloud Console.
- Over 200 labs from beginner to advanced levels.
- Bite-sized so you can learn at your own pace.
Create a new Cloud Storage bucket
Ingest data files to the storage bucket
Initialize Google App Engine