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Best Books to Learn Google Cloud Platform

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Best Books to Learn Google Cloud
Best Books to Learn Google Cloud Platform

Are you looking for the best books on the Google Cloud Platform?… If yes, then this article is for you. In this article, you will find the Best Books to Learn Google Cloud Platform for Beginners & advanced like Beginner courses, and Practice test coursesSo, check these Best Books to Learn Google Cloud Platform for Beginners and find the Best Books to Learn Google Cloud Platform for Beginners to Advanced according to your need.

In the previous article, I shared the Best Google Cloud Courses on Coursera to know in 2022, you can go through the list and enjoy learning.

Best Books to Learn Google Cloud Platform for Beginners to Advanced to know in 2022

Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects

The Google Cloud Platform incorporates dozens of specialized services that enable organizations to offload technological needs onto the cloud. From routine IT operations like storage to sophisticated new capabilities including artificial intelligence and machine learning, the Google Cloud Platform offers enterprises the opportunity to scale and grow efficiently.

In Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects, Google Cloud expert Priyanka Vergadia delivers a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique use cases. After a brief introduction to the major categories of cloud services offered by Google, the author offers approximately 100 solutions divided into eight categories of services included in Google Cloud Platform:

  • Compute
  • Storage
  • Databases
  • Data Analytics
  • Data Science, Machine Learning and Artificial Intelligence
  • Application Development and Modernization with Containers
  • Networking
  • Security

You’ll find richly illustrated flowcharts and decision diagrams with straightforward explanations in each category, making it easy to adopt and adapt Google’s cloud services to your use cases.

With coverage of the major categories of cloud models—including infrastructure-, containers-, platforms-, functions-, and serverless—and discussions of storage types, databases and Machine Learning choices, Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects is perfect for every Google Cloud enthusiast, of course.

It is for anyone who is planning a cloud migration or new cloud deployment. It is for anyone preparing for cloud certification, and for anyone looking to make the most of Google Cloud. It is for cloud solutions architects, IT decision-makers, and cloud data and ML engineers. In short, this book is for YOU.

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Official Google Cloud Certified Associate Cloud Engineer Study Guide

The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification.

Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests.

Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services.

  • Select the right Google service from the various choices based on the application to be built
  • Compute with Cloud VMs and managing VMs
  • Plan and deploying storage
  • Network and configure access and security

Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services.

Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud.

This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.

Throughout this updated second edition, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way.

  • Employ best practices in building highly scalable data and ML pipelines on Google Cloud
  • Automate and schedule data ingest using Cloud Run
  • Create and populate a dashboard in Data Studio
  • Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery
  • Conduct interactive data exploration with BigQuery
  • Create a Bayesian model with Spark on Cloud Dataproc
  • Forecast time series and do anomaly detection with BigQuery ML
  • Aggregate within time windows with Dataflow
  • Train explainable machine learning models with Vertex AI
  • Operationalize ML with Vertex AI Pipelines

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Google Cloud Certified Professional Cloud Architect Study Guide

The newly revised Second Edition of the Google Cloud Certified Professional Cloud Architect Study Guide delivers a proven and effective roadmap to success on the latest Professional Cloud Architect accreditation exam from Google.

You’ll learn the skills you need to excel on the test and in the field, with coverage of every exam objective and competency, including focus areas of the latest exam such as Kubernetes, Anthos, and multi-cloud architectures. The book explores the design, analysis, development, operations, and migration components of the job, with intuitively organized lessons that align with the real-world job responsibilities of a Google Cloud professional and with the PCA exam topics.

Architects need more than the ability to recall facts about cloud services, they need to be able to reason about design decisions.

This study guide is unique in how it helps you learn to think like an architect: understand requirements, assess constraints, choose appropriate architecture patterns, and consider the operational characteristics of the systems you design.

Review questions and practice exams use scenario-based questions like those on the certification exam to build the test taking skills you will need.

In addition to comprehensive material on compute resources, storage systems, networks, security, legal and regulatory compliance, reliability design, technical and business processes, and more, you’ll get:

  • The chance to begin or advance your career as an in-demand Google Cloud IT professional
  • Invaluable opportunities to develop and practice the skills you’ll need as a Google Cloud Architect
  • Access to the Sybex online learning center, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms

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Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services

Get quick hands-on experience with Google Cloud. This cookbook provides a variety of self-contained recipes that show you how to use Google Cloud services for your enterprise application. Whether you’re looking for practical ways to apply microservices, AI, analytics, security, or networking solutions, these recipes take you step-by-step through the process and provide discussions that explain how and why the recipes work.

Ideal for system engineers and administrators, developers, network and database administrators, and data analysts, this cookbook helps you get started with Google Cloud regardless of your level of experience. Google veterans Rui Costa and Drew Hodun also cover advanced-level Google Cloud services for those who have appreciable experience with the platform.

  • Learn how to get started with Google Cloud
  • Understand the depth of services Google Cloud provides
  • Gain hands-on experience using practical examples and labs
  • Explore topics that include BigQuery, Cloud Run, and Kubernetes
  • Build and run mobile and web applications on Google Cloud
  • Examine ways to build your cloud applications for scale
  • Build a minimum viable product (MVP) app to use in production
  • Learn data platform and pipeline skills

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Google Cloud Platform in Action

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever.

You’ll learn how to choose exactly the services that best suit your needs, and you’ll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.

Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you’ll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need.

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Professional Cloud Architect Google Cloud Certification Guide: Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google’s Professional Cloud Architect certification exam.

Following the Professional Cloud Architect’s official exam syllabus, you’ll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure.

As you progress through the chapters, you’ll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog.

By the end of this book, you’ll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.

  • Understand the benefits of being a Google Certified Professional Cloud Architect
  • Find out how to enroll for the Professional Cloud Architect exam
  • Master the compute options in GCP
  • Explore security and networking options in GCP
  • Get to grips with managing and monitoring your workloads in GCP
  • Understand storage, big data, and machine learning services
  • Become familiar with exam scenarios and passing strategies

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Google Cloud for DevOps Engineers: A practical guide to SRE and achieving Google’s Professional Cloud DevOps Engineer certification

With the help of this book, you’ll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability.

You’ll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD).

You’ll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you’ll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you’ll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications.

By the end of this SRE book, you’ll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests.

  • Categorize user journeys and explore different ways to measure SLIs
  • Explore the four golden signals for monitoring a user-facing system
  • Understand psychological safety along with other SRE cultural practices
  • Create containers with build triggers and manual invocations
  • Delve into Kubernetes workloads and potential deployment strategies
  • Secure GKE clusters via private clusters, Binary Authorization, and shielded GKE nodes
  • Get to grips with monitoring, Metrics Explorer, uptime checks, and alerting
  • Discover how logs are ingested via the Cloud Logging API

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Official Google Cloud Certified Professional Cloud Architect Study Guide

The Google Cloud Certified Professional Cloud Architect Study Guide is the essential resource for anyone preparing for this highly sought-after, professional-level certification. Clear and accurate chapters cover 100% of exam objectives—helping you gain the knowledge and confidence to succeed on exam day.

A pre-book assessment quiz helps you evaluate your skills, while chapter review questions emphasize critical points of learning. Detailed explanations of crucial topics include analyzing and defining technical and business processes, migration planning, and designing storage systems, networks, and compute resources.

Written by Dan Sullivan—a well-known author and software architect specializing in analytics, machine learning, and cloud computing—this invaluable study guide includes access to the Sybex interactive online learning environment, which includes complete practice tests, electronic flash cards, a searchable glossary, and more.

Providing services suitable for a wide range of applications, particularly in high-growth areas of analytics and machine learning, Google Cloud is rapidly gaining market share in the cloud computing world. Organizations are seeking certified IT professionals with the ability to deploy and operate infrastructure, services, and networks in the Google Cloud. Take your career to the next level by validating your skills and earning certification.

  • Design and plan cloud solution architecture
  • Manage and provision cloud infrastructure
  • Ensure legal compliance and security standards
  • Understand options for implementing hybrid clouds
  • Develop solutions that meet reliability, business, and technical requirements

View this Book on Amazon

Official Google Cloud Certified Professional Data Engineer Study Guide 

The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification.

Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. 

Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. 

  • Build and operationalize storage systems, pipelines, and compute infrastructure
  • Understand machine learning models and learn how to select pre-built models
  • Monitor and troubleshoot machine learning models
  • Design analytics and machine learning applications that are secure, scalable, and highly available. 

This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.

View this Book on Amazon

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP).

This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.
Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.
You’ll learn how to:

  • Automate and schedule data ingest, using an App Engine application
  • Create and populate a dashboard in Google Data Studio
  • Build a real-time analysis pipeline to carry out streaming analytics
  • Conduct interactive data exploration with Google BigQuery
  • Create a Bayesian model on a Cloud Dataproc cluster
  • Build a logistic regression machine-learning model with Spark
  • Compute time-aggregate features with a Cloud Dataflow pipeline
  • Create a high-performing prediction model with TensorFlow
  • Use your deployed model as a microservice you can access from both batch and real-time pipelines

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And here the list ends. So, these are the Best Books to Learn Google Cloud Platform for Beginners to Advanced. I will keep adding more Best Books on Google Cloud to this list.

Conclusion

I hope these Best Books to Learn Google Cloud Platform for Beginners to Advanced will definitely help you to enhance your skills. If you have any doubts or questions, feel free to ask me in the comment section.

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