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Architecting Google Cloud Solutions

You're reading from   Architecting Google Cloud Solutions Learn to design robust and future-proof solutions with Google Cloud technologies

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800563308
Length 472 pages
Edition 1st Edition
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Author (1):
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Victor Dantas Victor Dantas
Author Profile Icon Victor Dantas
Victor Dantas
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Google Cloud
2. Chapter 1: An Introduction to Google Cloud for Architects FREE CHAPTER 3. Chapter 2: Mastering the Basics of Google Cloud 4. Section 2: Designing Great Solutions in Google Cloud
5. Chapter 3: Designing the Network 6. Chapter 4: Architecting Compute Infrastructure 7. Chapter 5: Architecting Storage and Data Infrastructure 8. Chapter 6: Configuring Services for Observability 9. Chapter 7: Designing for Security and Compliance 10. Section 3: Designing for the Modern Enterprise
11. Chapter 8: Approaching Big Data and Data Pipelines 12. Chapter 9: Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE) 13. Chapter 10: Re-Architecting with Microservices 14. Chapter 11: Applying Machine Learning and Artificial Intelligence 15. Chapter 12: Achieving Operational Excellence 16. Other Books You May Enjoy

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...

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