The course is part of this learning path
One of the hardest parts of data analysis is data cleanup. In this course, 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
Hello, and welcome to “Introduction to Cloud Dataprep”. My name is Daniel Mease and I'll be taking you through this course. I am a trainer at Cloud Academy with over 20 years of software and web development experience.
This course is intended for:
- GCP Data Scientists
- GCP Data Engineers
- Anyone preparing for a Google Cloud certification (such as the Professional Data Engineer exam)
After completing this course, you will be able to answer the following questions:
- What is Cloud Dataprep and what can it do?
- What are the different editions and how do I choose the right one?
- How do I get started using Dataprep?
The following prerequisites will be helpful:
- Access to a Google Cloud Platform account
Feedback on our courses is valuable, both to us as trainers and our future students. If you have any criticisms or suggestions for improvement, we would greatly appreciate it if you would share those with us.
Please note that, when this video was recorded, all course information was accurate. Google is constantly updating its products and services as part of its ongoing drive to innovate. As a result, over time, minor discrepancies may appear in the course content. Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available.
If you notice any information that is outdated, please contact support@cloudacademy.com. This will allow us to make all necessary fixes to the course during its next release cycle.
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.