Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

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.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

End-to-end big data solution

Before we begin looking at the services, let's look at a very simple diagram. This represents the end-to-end big data solution. GCP provides us with all of the tools to architect an elastic and scalable service where we can import huge amounts of data, process events, and then execute business rules.

Exam Tip

It is important to understand this flow and which services map to each stage. As we go through this chapter, we will map each big data service to a stage in our end-to-end solution.

We can ingest data from multiple sources, execute code to process this data, and then analyze the data to ensure that we maximize our business capabilities:

Figure 13.1 – End-to-end data flow

Of course, this is a very simplistic view of it and there are complexities when architecting our solutions, but we should expect, at least for the exam, to understand this at a high level. Let's look at the services that map to each...