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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

Overview of DynamoDB

Amazon DynamoDB is a fully managed NoSQL and serverless database service that supports key-value and document data structures. It is a proprietary database engine only offered by AWS. You may recall from Chapter 2, Understanding Database Fundamentals, that a NoSQL database is a database designed to store semi-structured or non-structured data without a concrete schema. DynamoDB is a key-value database, meaning that all data is stored with a key that acts as an identifier for the data, and the values, which are the attributes. A serverless database is one for which you do not need to define the compute requirements. When you provision an RDS instance, you need to calculate the number of CPUs and amount of memory you will need. When you provision DynamoDB, you do not need to do so and you can opt to run in on-demand mode, where AWS will manage your table capacity for you. DynamoDB uses the amount of data that your application reads and writes to work out your charges...

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