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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 DocumentDB

Amazon DocumentDB is a fully managed and scalable NoSQL database designed to store and query semi-structured data such as JSON documents. JSON documents are pieces of information saved in a format structure called JavaScript Object Notation (JSON). The fixed structure of a JSON document allows all the data and fields within it to be queried similarly to an RDBMS table.

DocumentDB is compatible with another popular document database called MongoDB. This makes it a good choice for customers who are looking to move to an open source document database while currently using MongoDB.

DocumentDB is similar to DynamoDB in that they are both NoSQL databases, but while DynamoDB is tuned for key-value data retrieval operations, DocumentDB is more tuned to favor fast query handling. Also, DocumentDB is provisioned in a similar way to RDS, where you define an instance size to handle your workload as opposed to DynamoDB, which uses read/write capacity units. However...

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