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Preparing for your Professional Data Engineer Journey

Google Cloud

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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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.

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.

Enroll now

What's inside

Syllabus

Introduction to Professional Data Engineer (PDE) Certification
Designing Data Processing Systems
Ingesting and Processing Data
Storing Data
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Preparing and Using Data for Analysis
Maintaining and Automating Data Workloads
Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Prepares learners to achieve the Google Cloud Professional Data Engineer certification
Appropriate for learners with prior experience in data engineering or related fields
Provides a structured and comprehensive study plan tailored to the PDE certification exam
Covers all the domains included in the PDE certification exam
Assisted by Google Cloud instructors, who are recognized experts in the field of data engineering
Uses a multi-modal approach, combining videos, readings, and discussions for a more engaging learning experience

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Activities

Coming soon We're preparing activities for Preparing for your Professional Data Engineer Journey. These are activities you can do either before, during, or after a course.

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 someone who builds and maintains data management systems. They design, test, and implement data pipelines that can ingest, process, and store data. They also create data models and tools that make it easy for data analysts and scientists to access and use data. This course will help you prepare for the PDE (Professional Data Engineer) certification exam, which will give you the skills and knowledge you need to succeed in this role.
Data Architect
A Data Architect is responsible for designing and managing the overall data strategy for an organization. They work with stakeholders to understand data needs, and then design and implement data management systems that meet those needs. They also work with data engineers to ensure that data is properly ingested, processed, and stored. This course will help you understand the different aspects of data architecture, and will prepare you for the PDE (Professional Data Engineer) certification exam.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They ensure that databases are running smoothly and efficiently, and that data is protected and secure. They also work with data engineers and data analysts to ensure that data is accessible and usable. This course will help you understand the different aspects of database administration, and will prepare you for the PDE (Professional Data Engineer) certification exam.
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. They use data to solve problems and make informed decisions. They also work with stakeholders to communicate the results of their analysis. This course will help you develop the skills you need to succeed as a Data Analyst, including data analysis techniques, data visualization, and communication skills.
Data Scientist
A Data Scientist is responsible for developing and implementing machine learning models. They use data to identify patterns and make predictions. They also work with stakeholders to communicate the results of their analysis. This course will help you develop the skills you need to succeed as a Data Scientist, including machine learning techniques, data analysis, and communication skills.
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and implementing machine learning models. They work with data scientists to identify the right machine learning algorithms for a given problem, and then they develop and implement the models. They also work with stakeholders to communicate the results of their analysis. This course will help you develop the skills you need to succeed as a Machine Learning Engineer, including machine learning techniques, data analysis, and communication skills.
Project Manager
A Project Manager is responsible for planning, organizing, and executing projects. They work with stakeholders to define the project scope, and then they develop and implement the project plan. They also work with the project team to ensure that the project is completed on time, within budget, and to the required quality standards. This course will help you develop the skills you need to succeed as a Project Manager, including project planning, management, and communication skills.
Business Analyst
A Business Analyst is responsible for analyzing and understanding business processes. They work with stakeholders to identify business needs, and then they develop and implement solutions to meet those needs. They also work with other analysts to ensure that the solutions are aligned with the overall business strategy. This course will help you develop the skills you need to succeed as a Business Analyst, including business analysis, process improvement, and communication skills.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with stakeholders to understand the software requirements, and then they design and implement the software. They also work with other engineers to ensure that the software is compatible with other systems. This course will help you develop the skills you need to succeed as a Software Engineer, including software design, development, and testing.
Web Developer
A Web Developer is responsible for designing and developing websites. They work with stakeholders to understand the website requirements, and then they design and implement the website. They also work with other developers to ensure that the website is compatible with other systems. This course will help you develop the skills you need to succeed as a Web Developer, including web design, development, and testing.
Technical Writer
A Technical Writer is responsible for writing and editing technical documentation. They work with engineers and other technical experts to understand the product or service, and then they write and edit documentation that explains how to use it. They also work with marketing and sales teams to create marketing and sales materials. This course will help you develop the skills you need to succeed as a Technical Writer, including writing, editing, and communication skills.
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. They work with stakeholders to understand the system requirements, and then they design and implement the system. They also work with other analysts to ensure that the system is compatible with other systems. This course will help you develop the skills you need to succeed as a Systems Analyst, including systems analysis, design, and implementation.
Data Quality Analyst
A Data Quality Analyst is responsible for ensuring that data is accurate, consistent, and complete. They work with data engineers and other data professionals to identify and correct data quality issues. They also work with stakeholders to understand the data quality requirements, and then they develop and implement data quality processes to meet those requirements. This course will help you develop the skills you need to succeed as a Data Quality Analyst, including data quality analysis, data cleaning, and data validation.
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and implementing data warehouses. They work with stakeholders to understand the data warehouse requirements, and then they design and implement the data warehouse. They also work with other architects to ensure that the data warehouse is compatible with other systems. This course will help you develop the skills you need to succeed as a Data Warehouse Architect, including data warehouse design, development, and implementation.
Big Data Architect
A Big Data Architect is responsible for designing and implementing big data systems. They work with stakeholders to understand the big data requirements, and then they design and implement the big data system. They also work with other architects to ensure that the big data system is compatible with other systems. This course may help you develop the skills you need to succeed as a Big Data Architect, including big data design, development, and implementation.

Reading list

We've selected seven 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 comprehensive overview of the challenges and techniques involved in designing and building data-intensive applications. It covers topics such as data modeling, data storage, data processing, and data analysis.
Provides a comprehensive overview of Spark. It covers topics such as data storage, data processing, and data analysis.
Provides a comprehensive overview of data warehousing. It covers topics such as data modeling, data storage, and data analysis.
Provides a comprehensive overview of the data warehouse toolkit. It covers topics such as data modeling, data storage, and data analysis.
Provides a comprehensive overview of machine learning for data mining. It covers topics such as supervised learning, unsupervised learning, and ensemble learning.

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