Google Data Engineer Exam – Professional Certification Preparation

Overview

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. The Learning Path for the Google Certified Professional Data Engineer exam lasts almost 8 hours and consists of 9 courses and 5 quizzes.

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 seven of these Courses include hands-on demos you can do yourself. Then you can test what you’ve learned by taking the five Quizzes included. Finally, watch the “Additional Topics” video to find out what other resources you should review before taking the Exam.

Learning Objectives

You will take away a range of skills and a plethora of knowledge from completing this Learning Path. You can expect to learn the following:

• 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

This Learning Path Includes:

• 9 video Courses
• 5 Quizzes

Feedback

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

Updates

• Apr. 9, 2018: Added Building Convolutional Neural Networks on Google Cloud course 

FAQ

What is a Google certified professional?

A Google certified professional is an accredited certification exhibiting an individuals’ understanding and capabilities to work within the Google Cloud space. It is offered to those who are able to demonstrate proficiency in the, either/both, basic and advanced criterias.

What degree do you need to be a data engineer?

Usually, a bachelor’s degree in software engineering is a requisite of choosing a path of data engineer. Most businesses and enterprises usually request this ability as a criteria for any software or data engineering positions.

How can I get Google certified?

The best way to get certified for a Google certification is to book the exam you are looking to take in the respective role. Up until this point, it is best to study using our Cloud Academy training content with dedicated Learning Path’s for the GCP platform.

What is the Google certification program?

The Google certification program allows individuals to take exams to gain recognition for their skills as a developer in their respective field. After passing the certification exam, you will be including in the official certification directory and have access to a whole host of wider opportunities.