Working with Google Cloud Dataprep
Cloud Dataprep is Google's self-service data preparation tool built in collaboration with Trifacta. In this lab you will learn how to clean and enrich multiple datasets using Cloud Dataprep. The lab exercises are based on a mock use case scenario.
Use Case Scenario:
You work for a technical services company that sells three monthly subscription products:
- Silver (price: $9.99/month)
- Gold (price: $14.99/month)
- Platinum (price: $29.99/month)
The company occasionally offers promotional discounts, so some product prices may be slightly lower than those listed above. Your overall goal is to provide an analysis of sales activity by zip code over the course of three years.
To do this you'll need to join your customer contact datasource (where the zip code information resides) with sales data from your purchases datasource. Once you've joined the data, you'll aggregate the results.
What you'll learn
Cleaning and profiling data with Cloud Dataprep
Combining multiple datasets using Cloud Dataprep
Computing the results of formulas in Cloud Dataprep
What you'll need
A Google Cloud Platform Project
Chrome internet browser - this lab can only successfully run in Chrome
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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.