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AWS for Solutions Architects

You're reading from   AWS for Solutions Architects Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789539233
Length 454 pages
Edition 1st Edition
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Exploring AWS
2. Chapter 1: Understanding AWS Cloud Principles and Key Characteristics FREE CHAPTER 3. Chapter 2: Leveraging the Cloud for Digital Transformation 4. Section 2: AWS Service Offerings and Use Cases
5. Chapter 3: Storage in AWS – Choosing the Right Tool for the Job 6. Chapter 4: Harnessing the Power of Cloud Computing 7. Chapter 5: Selecting the Right Database Service 8. Chapter 6: Amazon Athena – Combining the Simplicity of Files with the Power of SQL 9. Chapter 7: AWS Glue – Extracting, Transforming, and Loading Data the Simple Way 10. Chapter 8: Best Practices for Application Security, Identity, and Compliance 11. Section 3: Applying Architectural Patterns and Reference Architectures
12. Chapter 9: Serverless and Container Patterns 13. Chapter 10: Microservice and Event-Driven Architectures 14. Chapter 11: Domain-Driven Design 15. Chapter 12: Data Lake Patterns – Integrating Your Data across the Enterprise 16. Chapter 13: Availability, Reliability, and Scalability Patterns 17. Section 4: Hands-On Labs
18. Chapter 14: Hands-On Lab and Use Case 19. Other Books You May Enjoy

Different methods to classify databases

In this section, we will cover a few of the various methods by which databases can be classified. Learning about these classifications will help us understand when it's most appropriate to use them.

Classifying databases by content

Even with all the current offerings, most databases fall into one of these categories:

  • Relational databases
  • Key-value databases
  • Document databases
  • Wide-column storage databases
  • Graph databases

Classifying databases by usage

Broadly speaking, two operations can be performed with a database:

  • Ingest data (or write data into the database).
  • Retrieve data (or read data from the database).

These two operations will always be present. On the ingestion side, the data will be ingested in two different ways. It will either be data that is replacing existing data (such as an update operation) or it will be brand-new data (such as an insert operation). These two operations...

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