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

Data Fusion

Cloud Data Fusion is a fully managed and cloud-native data integration service for quickly building and managing data pipelines. Data Fusion uses Dataproc as the execution environment for these pipelines. The GUI caters to a variety of users, which means that business users, developers, and data scientists can easily build integration solutions that will cleanse, prepare, and transform data. Data fusion also offers a library of preconfigured plugins to extend its capabilities. It is also important to note that it is powered by an open source project called Cask Data Application Platform (CDAP).

Core concepts

Some core Data Fusion concepts are worth highlighting to understand the product and how to use it.

Instances

To begin with, we must create a Cloud Data Fusion instance. Instances run as the Compute Engine service account and Data Fusion executes pipelines using a Dataproc cluster. Instances are a unique deployment of Data Fusion and are created from the...