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Google Cloud Certified Professional Data Engineer Certification Guide: Get certified and develop expert-level data engineering skills with Google Cloud Platform
Not yet published
Expected 9 Jun 26A guide to pass the GCP Professional Data Engineer exam on your first attempt and upgrade your data engineering skills on GCP.
Key FeaturesFully understand the certification exam content and exam objectivesConsolidate your knowledge of all essential exam topics and key conceptsGet realistic experience of answering exam-style questionsDevelop practical skills for everyday usePurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tipsBook DescriptionThe GCP Professional Data Engineer certification validates the fundamental knowledge required to perform data engineering tasks and use GCP services to enhance data engineering processes and further your career in the data engineering/architecting field. This book is a best-in-class study guide that fully covers the GCP Professional Data Engineer exam objectives and helps you pass the exam first time.
Complete with clear explanations, chapter review questions, realistic mock exams, and pragmatic solutions, this guide will help you master the core exam concepts and build the understanding you need to go into the exam with the skills and confidence to get the best result you can.
With the help of relevant examples, you'll learn fundamental data engineering concepts such as data warehousing and data security. As you progress, you'll delve into the important domains of the exam, including data pipelining, data migration, and data processing.
Unlike other study guides, this book contains logical reasoning behind the choice of correct answers based in scenarios and provide you with excellent tips regarding the optimal use of each service, and gives you everything you need to pass the exam and enhance your prospects in the data engineering field.
What you will learnCreate data solutions and pipelines in GCPAnalyze and transform data into useful informationApply data engineering concepts to real scenariosCreate secure, cost-effective, valuable GCP workloadsWork in the GCP environment with industry best practicesWho this book is forThis book is for data engineers who want a reliable source for the key concepts and terms present in the most prestigious and highly-sought-after cloud-based data engineering certification. This book will help you improve your data engineering in GCP skills to give you a better chance at earning the GCP Professional Data Engineer Certification.
You will already be familiar with the Google Cloud Platform, having either explored it (professionally or personally) for at least a year. You should also have some familiarity with basic data concepts (such as types of data and basic SQL knowledge).
Table of Contents Storing Data – Service Selection Storing Data – Data WarehousingStoring Data – Data Lakes Storing Data – Data MeshData Preparation and Analysis – Data VisualizationData Preparation and Analysis – Data Sharing Data Preparation and Analysis – Data Exploration and Analysis Data Processing Design – Security and Compliance Data Processing Design – Reliability and FidelityData Processing Design – Flexibility and PortabilityData Processing Design – Data Migrations Data Engineering and Process
Key FeaturesFully understand the certification exam content and exam objectivesConsolidate your knowledge of all essential exam topics and key conceptsGet realistic experience of answering exam-style questionsDevelop practical skills for everyday usePurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tipsBook DescriptionThe GCP Professional Data Engineer certification validates the fundamental knowledge required to perform data engineering tasks and use GCP services to enhance data engineering processes and further your career in the data engineering/architecting field. This book is a best-in-class study guide that fully covers the GCP Professional Data Engineer exam objectives and helps you pass the exam first time.
Complete with clear explanations, chapter review questions, realistic mock exams, and pragmatic solutions, this guide will help you master the core exam concepts and build the understanding you need to go into the exam with the skills and confidence to get the best result you can.
With the help of relevant examples, you'll learn fundamental data engineering concepts such as data warehousing and data security. As you progress, you'll delve into the important domains of the exam, including data pipelining, data migration, and data processing.
Unlike other study guides, this book contains logical reasoning behind the choice of correct answers based in scenarios and provide you with excellent tips regarding the optimal use of each service, and gives you everything you need to pass the exam and enhance your prospects in the data engineering field.
What you will learnCreate data solutions and pipelines in GCPAnalyze and transform data into useful informationApply data engineering concepts to real scenariosCreate secure, cost-effective, valuable GCP workloadsWork in the GCP environment with industry best practicesWho this book is forThis book is for data engineers who want a reliable source for the key concepts and terms present in the most prestigious and highly-sought-after cloud-based data engineering certification. This book will help you improve your data engineering in GCP skills to give you a better chance at earning the GCP Professional Data Engineer Certification.
You will already be familiar with the Google Cloud Platform, having either explored it (professionally or personally) for at least a year. You should also have some familiarity with basic data concepts (such as types of data and basic SQL knowledge).
Table of Contents Storing Data – Service Selection Storing Data – Data WarehousingStoring Data – Data Lakes Storing Data – Data MeshData Preparation and Analysis – Data VisualizationData Preparation and Analysis – Data Sharing Data Preparation and Analysis – Data Exploration and Analysis Data Processing Design – Security and Compliance Data Processing Design – Reliability and FidelityData Processing Design – Flexibility and PortabilityData Processing Design – Data Migrations Data Engineering and Process
Kindle Edition
Expected publication June 9, 2026
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