Introduction to Google Cloud Dataprep
One of the hardest parts of data analysis is data cleanup. In this lesson, you will learn how you can use Cloud Dataprep to easily explore, clean, and prepare your data.
Learning Objectives
- What Cloud Dataprep can do
- Differences between editions
- How to import a dataset
- How to create a recipe
- How to create and execute a flow
Intended Audience
- GCP Data Scientists
- GCP Data Engineers
- Anyone preparing for a Google Cloud certification (such as the Professional Data Engineer exam)
Prerequisites
- Access to a Google Cloud Platform account is recommended
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.