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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

Additional analytics services

In this section, we will take a very quick look at some other AWS analytics services that you need to be aware of. Specifically, we will look at the Elastic Map Reduce (EMR) service, CloudSearch, and Data Pipeline:

  • AWS EMR: This provides a managed Hadoop framework to enable you to process vast amounts of big data. You can use open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. Amazon EMR comes with an integrated development environment (IDE) called EMR Studio to help you develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. You can run your EMR workloads on EC2 Instances, Amazon Elastic Kubernetes Service (EKS) clusters, and on-premises using the AWS Outpost service. In terms of pricing, you are charged at a per-instance rate for every second used, with a 1-minute minimum charge.
  • AWS Data Pipeline: This is a web service that...
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