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Professional Cloud Architect Google Cloud Certification Guide

You're reading from Professional Cloud Architect Google Cloud Certification Guide Build a solid foundation in Google Cloud Platform to achieve the most lucrative IT certification

Product type Paperback

Published in Dec 2021

Publisher Packt

ISBN-13 9781801812290

Length 664 pages

Edition 2nd Edition

Tools

Google Cloud Platform

Concepts

Cloud Computing

Authors (2):

Konrad Cłapa

Brian Gerrard

View More author details

Table of Contents (25) Chapters

Preface

1. Section 1: Introduction to GCP

2. Chapter 1: GCP Cloud Architect Professional FREE CHAPTER

3. Chapter 2: Getting Started with Google Cloud Platform

4. Chapter 3: Google Cloud Platform Core Services

5. Section 2: Manage, Design, and Plan a Cloud Solution Architecture

6. Chapter 4: Working with Google Compute Engine

7. Chapter 5: Exploring Google App Engine as a Compute Option

8. Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine

9. Chapter 7: Deploying Cloud-Native Workloads with Cloud Run

10. Chapter 8: Managing Cloud-Native Workloads with Anthos

11. Chapter 9: Running Serverless Functions with Google Cloud Functions

12. Chapter 10: Networking Options in GCP

13. Chapter 11: Exploring Storage and Database Options in GCP – Part 1

14. Chapter 12: Exploring Storage and Database Options in GCP – Part 2

15. Chapter 13: Analyzing Big Data Options

16. Chapter 14: Putting Machine Learning to Work

17. Section 3: Secure, Manage and Monitor a Google Cloud Solution

18. Chapter 15: Security and Compliance

19. Chapter 16: Google Cloud Management Options

20. Chapter 17: Monitoring Your Infrastructure

21. Section 4: Exam Focus

22. Chapter 18: Case Studies

23. Chapter 19: Test Your Knowledge

24. Other Books You May Enjoy

Chapter 12: Exploring Storage and Database Options in GCP – Part 2

In the first part of our storage and database exploration, we looked at several services. In this chapter, we will focus on the remaining core database options.

The concepts of these services may sound similar to those we discussed in the previous chapter. For example, Cloud Spanner has similarities to Cloud SQL, while Bigtable may have you thinking about Cloud Datastore. In this chapter, we will not only look at the Cloud Spanner and Bigtable services but also show you how they differ and why you may need to select these over the other offerings.

We cover the following topics in this chapter:

Cloud Spanner
Bigtable

The rest of the chapter is locked

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Authors (2)

Konrad Cłapa

Konrad Cłapa

Konrad Cłapa is a Certified Google Trainer and Lead Cloud Architect working for Atos R&D. He has over 12 years' experience in the IT industry. He holds over 40 IT certification. This includes all 12/12 active Google Cloud Platform certifications making him the first in the world to achieve it. He is also listed among 40 individuals who hold Google Cloud Certified Fellow certificate. Sharing knowledge has always been important to him, so he contributes to the community by acting as a leader for a local Google Cloud Developer group. Funny fact about Konrad is that till now he never failed a GCP exam attempt including multiple beta exams that he has taken.

See other products by Konrad Cłapa

Gerrard

Gerrard

Brian Gerrard is currently a DevOps Engineer from Scotland with over 15 years' experience in the IT industry. As well as holding the Google Certified Professional Architect and Google Certified Associate Engineer certifications, he is certified in Azure, AWS, Terraform and VMware. Brian is a firm believer in lifelong learning, and you will regularly find him contributing to his local user groups.

See other products by Gerrard

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