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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 Amazon Timestream

Amazon Timestream is a time-series database. A time-series database is optimized for storing and querying data saved in key pairs of time and value. It is often used when data is being stored from sensors or operations with a timestamp and associated value that need to be tracked for trending analysis.

Timestream is a fully-managed, serverless, and scalable database service specifically customized and optimized for Internet of Things (IOT) devices and application sensors, allowing you to store trillions of events per day up to 1,000 times faster than via an RDBMS. Being serverless means you do not need to define your compute values, as Timestream will automatically scale up and down depending on the current workload.

Timestream features a tier-storage solution that moves older and less frequently accessed data to a cheaper storage tier, saving costs. Timestream has its own adaptive query engine that learns your data access patterns to optimize query...

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