menu
arrow_back

Ingesting Data Into The Cloud Using Google App Engine

Ingesting Data Into The Cloud Using Google App Engine

1 个小时 15 分钟 5 个积分

GSP195

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 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.

加入 Qwiklabs 即可阅读本实验的剩余内容…以及更多精彩内容!

  • 获取对“Google Cloud Console”的临时访问权限。
  • 200 多项实验,从入门级实验到高级实验,应有尽有。
  • 内容短小精悍,便于您按照自己的节奏进行学习。
加入以开始此实验
分数

—/15

Create a new Cloud Storage bucket

运行步骤

/ 5

Ingest data files to the storage bucket

运行步骤

/ 5

Initialize Google App Engine

运行步骤

/ 5