Additional Topics for Google Data Engineer
Additional Topics

This short video gives you a list of some of the other resources you should review before taking the Google Certified Professional Data Engineer exam.


If you’re preparing to write the Google Data Engineer Certification Exam, there are a few things to keep in mind. First, make sure you read the Exam Guide (Data Engineer Certification Exam Guide). It’ll give you an idea of the knowledge areas that will be covered on the exam. Also make sure you read the sample case study.

In this learning path, we’ve covered a wide variety of Data Engineer topics, but you should not rely solely on this learning path to prepare for the exam. For example, one of the topics that was not covered in the BigQuery courses is the Query Plan Explanation component of BigQuery (Query Plan Explanation).

In the study guide, you’ll notice that “schema design” is listed three times, so you should have a good understanding of how to design a schema in the various database services. BigQuery and Bigtable schema design were covered in this learning path, but not Cloud Datastore. Although Datastore uses Bigtable under the hood, it has its own unique way of structuring data, so you should have a look at these pages in the documentation (Entities, Properties, and Keys and Indexes).

To save you some typing, I put all of the links I mentioned in the Video Transcript tab below.

If you’re planning to take the Data Engineer exam, then I wish you the best of luck.

About the Author
Learning Paths

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).