Google Data Engineer Exam – Professional Certification Preparation

OverviewStepsAuthor
DifficultyIntermediate
Duration15h 25m
Students1527
Ratings
4.3/5
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Description

This Learning Path is designed to help you prepare for the Google Certified Professional Data Engineer Exam. Even if you don't plan to take the Exam, these courses will help you gain a solid understanding of the various data processing components of the Google Cloud Platform.

At the heart of Google’s big data services is BigQuery, a managed data warehouse in the cloud. The first three courses will show you how to load and query data in BigQuery, optimize BigQuery’s performance, and visualize your data.

The next three courses will show you how to process your data. First, you will use Cloud Machine Learning Engine to train neural networks to perform predictive analytics. Next, you’ll use Cloud Dataflow and Cloud Dataproc to build data processing pipelines that transform and summarize your data using Apache Beam, Hadoop, and Spark.

The final course will introduce you to Bigtable, Google’s revolutionary NoSQL database. It will show you how to take advantage of Bigtable’s high performance for big data applications.

All of these courses include hands-on demos you can do yourself. Then you can test what you’ve learned by taking the practice exam.

Learning Objectives

  • Design a data processing system
  • Build and maintain data structures and databases
  • Analyze data and enable machine learning
  • Optimize data representations, data infrastructure performance, and cost
  • Ensure reliability of data processing infrastructure
  • Visualize data
  • Design secure data processing systems

Prerequisites

  • Basic database knowledge

Intended Audience

  • Data professionals
  • People studying for the Google Professional Data Engineer exam

Feedback

If you have thoughts or suggestions for this Learning Path, please contact Cloud Academy at support@cloudacademy.com.

Updates

  • Aug. 1, 2019 - Added 4 courses and 1 lab:
    • Google Cloud Platform: Fundamentals course
    • Google Cloud Platform: Systems Operations course
    • Designing a Google Cloud Infrastructure course
    • Managing Your Google Cloud Infrastructure course
    • Granting Access to Google Cloud Storage Objects with Signed URLs lab
  • Apr. 9, 2018 - Added "Building Convolutional Neural Networks on Google Cloud" course

Certificate

Your certificate for this learning path
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Learning Path Steps

4 labs

Use the gcloud CLI in Google Cloud Shell to create signed URLs to grant anyone access to objects stored in Google Cloud Storage for a set duration in this Lab.

16 exam-filled

GCP Data Engineer Certification Preparation

Changelog

Oct 03 2019

Added "Structure and Analyze Data with Google BigQuery" lab

Aug 01 2019

Added 4 courses and 1 lab:

  • Google Cloud Platform: Fundamentals (course)
  • Google Cloud Platform: Systems Operations (course)
  • Designing a Google Cloud Infrastructure (course)
  • Managing Your Google Cloud Infrastructure (course)
  • Granting Access to Google Cloud Storage Objects with Signed URLs (lab)
Mar 28 2019

Added preparation exam

About the Author

Students20035
Courses43
Learning paths24

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).