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Preparing for your Professional Data Engineer Journey

Google Cloud Training

This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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What's inside

Syllabus

Introduction to Professional Data Engineer (PDE) Certification
Welcome to Preparing for the Professional Cloud Data Engineer Journey. In this introductory module, you learn about the role of a Professional Data Engineer. We discuss the types of resources available to support your study, and how to use the workbook to create your study plan.
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Designing Data Processing Systems
In this module, you’ll explore considerations for designing data processing systems, which correspond to section 1 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.
Ingesting and Processing Data
In this module you’ll explore considerations for ingesting and processing data, which corresponds to section 2 of the Professional Data Engineer Exam Guide. You’ll start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.
Storing Data
In this module you’ll explore considerations for storing data, which corresponds to section 3 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.
Preparing and Using Data for Analysis
In this module, you’ll explore considerations when preparing and using data for analysis, which corresponds to section 4 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.
Maintaining and Automating Data Workloads
In this module you’ll explore considerations for maintaining and automating data workloads, which corresponds to section 5 of the Professional Data Engineer Exam Guide. You start by discussing how a Professional Data Engineer performs this role at Cymbal Retail. Next, you’ll assess your skills in this section through 10 diagnostic questions. Then you’ll review these questions. Based on the areas you need to learn more about, you’ll identify resources to include in your study plan.
Summary
In this module, you focus on creating your individualized study plan. You will use the notes you’ve been taking throughout this course to put together a study plan for each week in your Professional Data Engineer journey.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Guides learners how to prepare for the Google Cloud Professional Data Engineer (PDE) Certification
Delves into data processing systems, data ingestion and processing, data storage, data for analysis, and workload maintenance
Prepares learners for the Professional Data Engineer (PDE) Certification exam
Offers diagnostic questions to assess learners' skills in each section of the exam
Provides a structured approach to preparing for the exam, with a focus on identifying areas for improvement
Taught by Google Cloud Training, which has a strong reputation in the field

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Reviews summary

Industry-recognized data engineering certification

Students say this course is a largely positive preparation guide for the Google Cloud Certified Professional Data Engineer exam. The well structured material helps learners become familiar with the key concepts and technologies needed to succeed in the exam. Students appreciate the real-world labs and engaging assignments that allow them to practice applying their knowledge.
Course provides a thorough review of the material covered in the previous courses in the specialization.
"Excellent course, as a guide to prepare for certification exam."
"This course is indeed hard to pass, but it help you to feel the real exam environment"
"This is a great source to prepare for GCP Data Engineer Exam"
Hands-on labs and practical case studies help students apply their knowledge and identify areas for improvement.
"Very good explanation and well supported lab."
"The instructor for this final course is a great communicator. I enjoyed the Challenge Labs, which are similar to those found on the Qwiklabs stand-alone service."
"It was asesome to be able to interact on real labs"
The course helps students identify their weaknesses and focus their preparation for the exam.
"Very useful to pinpoint weak areas in the prep process."
"Greta course. Helps you to quickly identify areas you do not have a enough knowledge. "
"The touchstone concept is very helpful in highlighting which find out which components and services to study in greater detail again."

Career center

Learners who complete Preparing for your Professional Data Engineer Journey will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for designing, constructing, and maintaining data pipelines that turn raw data into products that meet business needs. This course helps build a foundation for success in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Architect
A Data Architect is responsible for designing and managing the architecture of an organization's data systems. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Business Analyst
A Business Analyst is responsible for analyzing business needs and developing solutions to meet those needs. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Product Manager
A Product Manager is responsible for defining and managing the roadmap for a product. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Sales Manager
A Sales Manager is responsible for managing a sales team and achieving sales goals. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations on investments. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Human Resources Manager
A Human Resources Manager is responsible for managing the human resources function of an organization. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.
Operations Manager
An Operations Manager is responsible for managing the day-to-day operations of an organization. This course may be useful for individuals in this role by providing an overview of the skills and knowledge needed to pass the Professional Data Engineer (PDE) certification exam. The course covers topics such as designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Preparing for your Professional Data Engineer Journey.
Provides a good overview of the techniques and principles involved in designing and building data-intensive applications. It covers a wide range of topics, from data modeling to distributed systems.
Provides a comprehensive overview of Spark, a popular open-source framework for distributed data processing.
Provides a comprehensive overview of data governance. It covers a wide range of topics, from data governance principles to data governance best practices.
Provides a clear and concise introduction to data modeling. It covers a wide range of topics, from data modeling concepts to data modeling tools.
Provides a clear and concise introduction to data ethics. It covers a wide range of topics, from data ethics principles to data ethics best practices.
Provides a clear and concise introduction to Python for data science. It covers a wide range of topics, from Python basics to Python libraries for data science.
Provides a clear and concise introduction to R for data science. It covers a wide range of topics, from R basics to R libraries for data science.

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