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

You're reading from   AWS Certified Database – Specialty (DBS-C01) Certification Guide A comprehensive guide to becoming an AWS Certified Database specialist

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803243108
Length 472 pages
Edition 1st Edition
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Author (1):
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Kate Gawron Kate Gawron
Author Profile Icon Kate Gawron
Kate Gawron
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Introduction to Databases on AWS
2. Chapter 1: AWS Certified Database – Specialty Overview FREE CHAPTER 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

Graph and ledger databases

For the final section of this chapter, we are going to study two more database types, one NoSQL and one a special type of database that can be made both with a SQL and NoSQL database, as we will see:

  • Graph databases are used when you want to show the connections between items in your database. For example, consider Facebook and how they use friends of friends to help identify people you are likely to know and might want to connect with. This would be a good example of when a graph database could be a good option.
  • Ledger databases are databases that keep track of every change that has ever been made. The database will never change any existing data but will add a new version next to the original. This can be very useful for systems such as bank transactions, where it is critical to have exceptional auditing controls.

Let's start by looking at graph databases.

Graph databases

Graph databases specialize in storing data in a manner...

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