Retrieve dataset files
Publish the results to BigQuery
Working with Cloud Dataprep on Google Cloud
This lab was developed with our partner, Trifacta. Your personal information may be shared with Trifacta, the lab sponsor, if you have opted-in to receive product updates, announcements, and offers in your Account Profile.
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.
In this lab, you will learn how to perform the following tasks:
Cleaning and profiling data with Cloud Dataprep
Combining multiple datasets using Cloud Dataprep
Computing the results of formulas in Cloud Dataprep
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