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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

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

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