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Professional Cloud Architect –  Google Cloud Certification Guide

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa , Gerrard
4.5 (17)
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Professional Cloud Architect –  Google Cloud Certification Guide

Professional Cloud Architect – Google Cloud Certification Guide

4.5 (17)
By: Konrad Cłapa , Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
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1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: Exam Focus

BigQuery

BigQuery is a fully managed, serverless analytics service. It can scale to petabytes of data and is ideal for data warehouse workloads. It is, of course, the analysis stage of our solution, and once Dataflow processes our data, BigQuery will provide the value to our business by querying large volumes of data in a very short period of time. Queries are executed in the SQL language; therefore, it will be easy to use for many. We should emphasize that BigQuery is enterprise-scale and can perform large SQL queries extremely fast—all without the need for us to provision any underlying infrastructure.

Exam tip: BigQuery is ideal for data warehouse workloads as it has the capacity for PB of storage.

BigQuery features

...

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