Book Image

Architecting Google Cloud Solutions

By : Victor Dantas
Book Image

Architecting Google Cloud Solutions

By: Victor Dantas

Overview of this book

Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.
Table of Contents (17 chapters)
1
Section 1: Introduction to Google Cloud
4
Section 2: Designing Great Solutions in Google Cloud
10
Section 3: Designing for the Modern Enterprise

Chapter 8: Approaching Big Data and Data Pipelines

Big data plays an essential role in modern enterprise architectures and practices. While traditionally, businesses have been able to store and use their data entirely using relational database management systems, datasets have become too diverse and voluminous to be managed with traditional methods. For data-driven companies, being able to unlock value from data is almost a matter of survival.

In this chapter, you will learn about core big data concepts and services and how to design solutions using data pipelines for ingestion, streaming, batch processing and analytics. You will also learn about common architectural patterns and get hands-on experience with building a big data solution on GCP. By the end of this chapter, you should have acquired a good understanding of the big data ecosystem on GCP and feel confident with designing solutions that solve real challenges faced by data-driven businesses.

In this chapter, we&apos...