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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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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

Using non-relational and unstructured datastores

In general, non-relational data falls under the category of semi-structured or unstructured data. This means that they don't follow any strict tabular structure of data models (as is the case for relational databases), but, in the case of semi-structured data, they do contain elements that enforce a hierarchy of records and fields within the data. The most notable example is JSON, short for JavaScript Object Notation, which uses attribute-values pairs to describe objects and in which values can potentially be another JSON block, thus allowing for a nested data structure that enables data models to represent complex relationships between entities. The way objects (or entities) are described in JSON is akin to how objects are described in object-oriented programming languages. In addition, the support for lists of objects simplifies data models by avoiding complex translations from lists to a corresponding object in a relational data...

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