Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian 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)
Free Chapter
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

Analyzing Big Data Options

If you have been looking into cloud computing, then the chances are you have come across the term big data. This is used to describe the large volumes of data that modern-day businesses are processing. We are not so worried about the mass of data, but more about how we can use this data. Almost everything carries a digital footprint these days, and there are challenges to ingest this data and to extract meaningful information. Google offers services that work together to allow us to first gather data, and then process it, before finally analyzing it. The faster we can analyze this means the faster business decisions can be made. Big data is becoming very important to many organizations.

In this chapter, we will look at Google big data services:

  • Pub/Sub
  • Dataflow
  • BigQuery
  • Dataproc
  • Cloud IoT

In this chapter, we want to introduce the main Google big data...