Description
Unlock the potential of data engineering with the Official Google Cloud Certified Professional Data Engineer Study Guide. This comprehensive study resource is your key to mastering the essential skills required for the Google Cloud Professional Data Engineer exam. Authored by the experienced Dan Sullivan, this guide provides a structured pathway to understanding big data, machine learning, and analytics on the Google Cloud Platform.
Start your journey with a pre-assessment quiz to gauge your current knowledge, and dive into the exam objectives with detailed explanations and practical review questions designed to reinforce learning. Each chapter illuminates critical topics that you’ll encounter on the exam, ensuring you grasp complex concepts with ease.
This study guide also includes access to an online learning environment featuring additional practice tests, allowing you to refine your skills and increase your confidence before the big day. Learn to build and operationalize storage systems, pipelines, and compute infrastructure effectively. Master the intricacies of machine learning models, discover how to select the right pre-built models, and develop the expertise to monitor and troubleshoot machine learning implementations.
With a focus on designing secure, scalable, and highly available analytics and machine learning applications, this study guide equips you with the knowledge you need not only to pass the exam but to succeed in a data-driven career in cloud computing. Prepare effectively for your future with this indispensable resource that blends theoretical knowledge with practical applications.
Start your journey with a pre-assessment quiz to gauge your current knowledge, and dive into the exam objectives with detailed explanations and practical review questions designed to reinforce learning. Each chapter illuminates critical topics that you’ll encounter on the exam, ensuring you grasp complex concepts with ease.
This study guide also includes access to an online learning environment featuring additional practice tests, allowing you to refine your skills and increase your confidence before the big day. Learn to build and operationalize storage systems, pipelines, and compute infrastructure effectively. Master the intricacies of machine learning models, discover how to select the right pre-built models, and develop the expertise to monitor and troubleshoot machine learning implementations.
With a focus on designing secure, scalable, and highly available analytics and machine learning applications, this study guide equips you with the knowledge you need not only to pass the exam but to succeed in a data-driven career in cloud computing. Prepare effectively for your future with this indispensable resource that blends theoretical knowledge with practical applications.