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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

Introduction to Amazon Athena

Water, water everywhere, and not a drop to drink… This may be the feeling you get in today's enterprise environments. We are producing data at an exponential rate, but it is sometimes difficult to find a way to analyze this data and gain insights from it. Some of the data that we are generating at a prodigious rate is of the following types:

  • Application logging
  • Clickstream data
  • Surveillance video
  • Smart and IoT devices
  • Commercial transactions

Often, this data is captured without analysis or is at least not analyzed to the fullest extent. Analyzing this data properly can translate into the following:

  • Increased sales
  • Cross-selling opportunities
  • Lower operational and hardware infrastructure costs
  • Avoiding downtime and errors before they occur
  • Serving customer bases more efficiently

Previously, one stumbling block to analyzing this data was the fact that much of this information resides...

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