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)

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801075930

Length 630 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Rajesh Daswani

View More author details

Table of Contents (23) Chapters

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

Exercise 11.1 – analyzing your sales report with Amazon Athena and AWS Glue

In this exercise, you will need to download a sample CSV file, which is available in the Packt GitHub repository for this chapter https://github.com/PacktPublishing/AWS-Certified-Cloud-Practitioner-Exam-Guide. This is a simple CSV file that contains some sales data for the Vegan Studio, the fictitious company that you have been carrying out a series of exercises for in the previous chapters.

You will need to store this CSV file in an Amazon S3 bucket and then use Amazon Athena to run queries against the data. Ensure that you have downloaded the CSV file and stored it on your computer before you start this exercise.

Step 1 – Amazon S3

Log into your AWS account using the IAM user ID of our senior administrator, Alice.
Navigate to the Amazon S3 dashboard.
Create two new buckets with appropriate names. For example, I have named my buckets vegan-sales-report (to store the CSV...