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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.

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What's inside

Syllabus

Introduction to Professional Data Engineer (PDE) Certification
Designing Data Processing Systems
Ingesting and Processing Data
Storing Data
Read more
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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Preparing for your Professional Data Engineer Journey with these activities:
Attend Data Science Meetup
Expand your network and gain insights by attending a data science meetup, where you can connect with professionals in the field and learn about the latest trends.
Browse courses on Data Science
Show steps
  • Find a local data science meetup group
  • Attend a meetup and actively participate in discussions
  • Connect with other attendees and exchange knowledge
Practice Data Processing Techniques
Improve your data processing skills by practicing various techniques, such as data extraction, transformation, and aggregation.
Browse courses on Data Processing
Show steps
  • Review basic data processing concepts
  • Work through practice problems involving data processing
  • Build a small data processing project
Follow Tutorials on Data Ingestion
Enhance your understanding of data ingestion by following guided tutorials that cover different methods and tools for acquiring and loading data.
Browse courses on Data Ingestion
Show steps
  • Find tutorials on data ingestion techniques
  • Follow the steps in the tutorials to set up data ingestion processes
  • Experiment with different data formats and sources
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Practice data cleaning
The course will cover data cleaning extensively and being able to clean data is essential to becoming a data engineer. You can practice your data cleaning skills to increase your confidence with this skill.
Show steps
  • Download a dataset with known issues
  • Clean the data using the techniques you know
  • Verify the integrity of the data by running tests
Practice Data Analysis Techniques
Sharpen your data analysis skills by completing practice drills that involve data manipulation, statistical analysis, and machine learning algorithms.
Browse courses on Data Analysis
Show steps
  • Solve data analysis problems using Python or R
  • Build predictive models using machine learning techniques
  • Interpret and visualize data analysis results
Design a Data Storage System
Apply your knowledge by designing a data storage system that meets specific requirements, considering factors such as data volume, access patterns, and security.
Browse courses on Data Storage
Show steps
  • Gather requirements for the data storage system
  • Research different data storage technologies
  • Design a logical and physical data model
  • Implement the data storage system using appropriate tools
Participate in a Data Warehousing Workshop
Enhance your understanding of data warehousing principles and practices by participating in a workshop that covers data modeling, data integration, and data analysis techniques.
Browse courses on Data Warehousing
Show steps
  • Identify a data warehousing workshop that aligns with your goals
  • Register and attend the workshop
  • Actively participate in hands-on exercises and discussions
Write a Blog Post on Big Data Best Practices
Share your knowledge and reinforce concepts by writing a blog post that discusses best practices in big data management, including data governance, data security, and data quality.
Browse courses on Big Data
Show steps
  • Research best practices in big data management
  • Write a blog post outlining the key practices
  • Share the blog post with peers and professionals in the field
Attend a data engineering hackathon or workshop
Getting hands-on experience through a hackathon or workshop provides an opportunity to apply your knowledge and skills outside of the classroom.
Show steps
  • Identify a data engineering hackathon or workshop to attend
  • Read the event materials and understand the specific challenges
Mentor Junior Data Engineers
Strengthen your understanding by mentoring junior data engineers, providing guidance on data processing, data management, and career development.
Browse courses on Data Engineering
Show steps
  • Identify junior data engineers who could benefit from mentoring
  • Establish regular meetings to provide support and guidance
  • Share your knowledge and experiences

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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Data Architect
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Machine Learning Engineer
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.
See salaries and explore the career path for Project Manager
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Web Developer
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.
See salaries and explore the career path for Technical Writer
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.
See salaries and explore the career path for Systems Analyst
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.
See salaries and explore the career path for Data Quality Analyst
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.
See salaries and explore the career path for Data Warehouse Architect
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.
See salaries and explore the career path for Big Data Architect

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.
Cover image
Secret Colors
Save
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.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Hadoop: The Definitive Guide
Save
Provides a comprehensive overview of Hadoop. It covers topics such as data storage, data processing, and data analysis.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Spark: The Definitive Guide
Save
Provides a comprehensive overview of Spark. It covers topics such as data storage, data processing, and data analysis.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
The Kimball Group Reader
Save
Provides a comprehensive overview of data warehousing. It covers topics such as data modeling, data storage, and data analysis.
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check
Cover image
Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Save
Provides a comprehensive overview of the data warehouse toolkit. It covers topics such as data modeling, data storage, and data analysis.
Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Paperback
$$$$
Data Mining
Save
Provides a comprehensive overview of data mining. It covers topics such as data preprocessing, data mining algorithms, and data mining applications.
Data Mining: Concepts and Techniques (The Morgan...
Kindle Edition
$$$
Data Mining: Concepts and Techniques (The Morgan...
Hardcover
$$$
Data Mining: Concepts and Techniques, Second...
Hardcover
$$
Data Mining: Know It All
Hardcover
$$$
Cover image
Build a Large Language Model (From Scratch)
Save
Provides a comprehensive overview of machine learning for data mining. It covers topics such as supervised learning, unsupervised learning, and ensemble learning.
Build a Large Language Model (From Scratch)
Paperback
Check
Build a Large Language Model (From Scratch)
Kindle Edition
Check

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Course image
Time
53 hours
Level
Advanced
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
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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