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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

Data lake best practices

So far, in this section, we have spent our time discussing why it is so challenging to implement enterprise search to the same level of effectiveness as internet search engines such as Google. The rest of this section will discuss ways to overcome or mitigate these challenges. In addition, we will analyze best practices to improve the usability of your data lake implementation that will empower users to get their work done more efficiently and allow them to find what they need more quickly.

Machine learning

As we mentioned in the Google – the gold standard section, there is usually no real financial motivation for data stewards and curators in many organizations to optimize documents to make them easier to find. If you have a website, your livelihood depends on web surfers being able to find your site, engage, and take certain actions (such as reading your content, buying your product, watching your videos, and so on). In the enterprise, document...

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