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AWS Certified Database – Specialty (DBS-C01) Certification Guide

You're reading from  AWS Certified Database – Specialty (DBS-C01) Certification Guide

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781803243108
Pages 472 pages
Edition 1st Edition
Languages
Author (1):
Kate Gawron Kate Gawron
Profile icon Kate Gawron

Table of Contents (24) Chapters

Preface 1. Part 1: Introduction to Databases on AWS
2. Chapter 1: AWS Certified Database – Specialty Overview 3. Chapter 2: Understanding Database Fundamentals 4. Chapter 3: Understanding AWS Infrastructure 5. Part 2: Workload-Specific Database Design
6. Chapter 4: Relational Database Service 7. Chapter 5: Amazon Aurora 8. Chapter 6: Amazon DynamoDB 9. Chapter 7: Redshift and DocumentDB 10. Chapter 8: Neptune, Quantum Ledger Database, and Timestream 11. Chapter 9: Amazon ElastiCache 12. Part 3: Deployment and Migration and Database Security
13. Chapter 10: The AWS Schema Conversion Tool and AWS Database Migration Service 14. Chapter 11: Database Task Automation 15. Chapter 12: AWS Database Security 16. Part 4: Monitoring and Optimization
17. Chapter 13: CloudWatch and Logging 18. Chapter 14: Backup and Restore 19. Chapter 15: Troubleshooting Tools and Techniques 20. Part 5: Assessment
21. Chapter 16: Exam Practice
22. Chapter 17: Answers 23. Other Books You May Enjoy

Summary

In this chapter, we learned about three different tools that are commonly used with AWS to automate infrastructure creation and administration – that is, the AWS CLI, CloudFormation, and CDK. Then, we learned how to automate how to load and handle data from S3 using AWS Glue and Amazon Athena.

Regarding automation, we learned how to create a CloudFormation stack using YAML or JSON templates and how to launch those stacks using both the AWS Console and the AWS CLI. We learned how we can use parameters within our stacks to allow the same code to be reused to create a controlled and automated method to create databases.

We finished this chapter by learning how to create an ETL job using AWS Glue and how to use Amazon Athena to query the data that's held within S3 without having to import it into a database first.

In the next chapter, we are going to learn about database security. We came across a few different database security tools and features earlier in...

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