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AWS Certified Cloud Practitioner Exam Guide

You're reading from   AWS Certified Cloud Practitioner Exam Guide Build your cloud computing knowledge and build your skills as an AWS Certified Cloud Practitioner (CLF-C01)

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801075930
Length 630 pages
Edition 1st Edition
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Author (1):
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Rajesh Daswani Rajesh Daswani
Author Profile Icon Rajesh Daswani
Rajesh Daswani
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Table of Contents (23) Chapters Close

Preface 1. Section 1: Cloud Concepts
2. Chapter 1: What Is Cloud Computing? FREE CHAPTER 3. Chapter 2: Introduction to AWS and the Global Infrastructure 4. Chapter 3: Exploring AWS Accounts, Multi-Account Strategy, and AWS Organizations 5. Section 2: AWS Technologies
6. Chapter 4: Identity and Access Management 7. Chapter 5: Amazon Simple Storage Service (S3) 8. Chapter 6: AWS Networking Services – VPCs, Route53, and CloudFront 9. Chapter 7: AWS Compute Services 10. Chapter 8: AWS Database Services 11. Chapter 9: High Availability and Elasticity on AWS 12. Chapter 10: Application Integration Services 13. Chapter 11: Analytics on AWS 14. Chapter 12: Automation and Deployment on AWS 15. Chapter 13: Management and Governance on AWS 16. Section 3: AWS Security
17. Chapter 14: Implementing Security in AWS 18. Section 4: Billing and Pricing
19. Chapter 15: Billing and Pricing 20. Chapter 16: Mock Tests 21. Answers 22. Other Books You May Enjoy

Learning how to query data stored in Amazon S3 with Amazon Athena

Businesses store vast amounts of data in repositories such as Amazon S3. A lot of this data is not necessarily being hosted on regular Amazon RDS or NoSQL databases. In many cases, this is because the dataset is not being regularly updated and queried. Previously, even if you wanted to perform ad hoc queries or analysis against some of that data, you would need to ingest it into a database and then run your queries against the database.

Amazon Athena is a fully managed serverless solution that allows you to interactively query and analyze data directly in Amazon S3 using standard SQL. There is no infrastructure to provision, and you only pay for the queries you run.

Amazon Athena uses Presto, which is an open source SQL query engine that's designed to allow you to perform ad hoc analysis. You can use standard ANSI SQL, which provides full support for large joins, window functions, and arrays.

Data can...

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