Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
Overview
Syllabus
- GSP050
- Overview
- Setup and requirements
- Task 1. Open Google Cloud Dataprep
- Task 2. Retrieve dataset files
- Task 3. Create a Flow
- Task 4. Clean customer data
- Task 5. Union multiple transactions datasets
- Task 6. Modifying recipe steps
- Task 7. Join transactions data to customers data
- Task 8. Create new columns and rename
- Task 9. Publish the results to BigQuery
- Congratulations!
Tags
Related Courses
-
Working with Cloud Dataprep on Google Cloud
-
Preparing and Aggregating Data for Visualizations using Cloud Dataprep
-
Creating a Data Transformation Pipeline with Cloud Dataprep
-
Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep v1.5
-
Transform and Clean your Data with Dataprep by Alteryx on Google Cloud
-
Dataprep: Qwik Start
