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

Chapter 13: 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 in ingesting this data and extracting meaningful information. Google offers services that work together to allow us to gather data, process it, and analyze it. The faster we can analyze data, the faster business decisions can be made. Big data is becoming very important to many organizations.

In this chapter, we will cover the following topics:

  • End-to-end big data solution
  • Pub/Sub
  • Dataflow
  • BigQuery
  • Dataproc
  • Cloud IoT
  • Cloud Data Fusion
  • Datastream

In this chapter, we want to introduce the main Google big data services and concepts to a...