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Google Cloud Platform: Professional Data Engineer certification prep

Published by O'Reilly Media, Inc.

Advanced content levelAdvanced

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Cloud is here to stay, and expertise with cloud technologies is in increasing demand. Google Cloud data engineers are some of the highest-paid in the industry, and the Google Cloud Platform (GCP) Professional Data Engineer certification is an excellent way to demonstrate proficiency and advance your career.

Join expert Martijn van de Grift to learn the relevant topics for the exam, including storage, big data processing, and machine learning. Become a Google Cloud Certified Professional Data Engineer and show the world that you can design and build data processing systems and create machine learning models on GCP.

What you’ll learn and how you can apply it

By the end of this live online course, you’ll understand:

  • How to build big data systems on Google Cloud following industry best practices
  • How to answer the different kinds of questions on the exam

And you’ll be able to:

  • Select and leverage the correct storage technologies on GCP
  • Design a data processing solution on GCP
  • Design the best solution based on a customer case
  • Leverage Google’s prebuilt ML models
  • Apply proven design patterns
  • Take the Google Cloud Certified Professional Data Engineer exam

This live event is for you because...

  • You want an overview of data engineering on Google Cloud.
  • You have data engineering experience on Google Cloud but don’t feel ready to take the exam.
  • You want to become a Google Cloud Certified Professional Data Engineer.

Prerequisites

  • A good understanding of computer science, software engineering, data engineering, and machine learning technology
  • Familiarity with GCP fundamentals, such as cloud networking, regions, identity and access management (IAM), and monitoring and logging

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction (20 minutes)

  • Lecture: The big data ecosystem; big data on Google Cloud; available services; accessing services; the exam
  • Q&A

Storage (35 minutes)

  • Lecture: Cloud storage; SQL; Spanner; BigTable; Datastore; BigQuery; data transfer; product selection
  • Hands-on exercise: Complete practice questions on storage
  • Q&A

Break (5 minutes)

Big data processing (30 minutes)

  • Lecture: Interactive versus batch processing; cloud pub/sub; dataflow; DataProc; Dataprep; product selection
  • Hands-on exercise: Complete practice questions on big data processing
  • Q&A

Machine learning (30 minutes)

  • Lecture: Basics and terminology; TensorFlow; Cloud ML; AutoML; AI platform; product selection
  • Hands-on exercise: Complete practice questions on machine learning
  • Q&A

Break (5 minutes)

Publishing and visualization datasets (20 minutes)

  • Lecture: BigQuery views; Data Studio
  • Hands-on exercise: Complete practice questions on publishing and visualizing data
  • Q&A

Reference architectures (20 minutes)

  • Lecture: Connecting services together; architectures for big data solutions
  • Q&A

Practice exam questions (15 minutes)

Your Instructor

  • Martijn van de Grift

    Martijn van de Grift is a cloud consultant at binx.io, where he specializes in creating solutions using GCP and AWS. He holds most relevant technical certifications for both clouds. Martijn has a great passion for IT and likes to work with the latest technologies. He loves to share this passion during training and webinars. Previously, he was at Booking.com, where he gained experience with handling planet-scale data.

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Skill covered

Google Cloud Certified - Professional Data Engineer