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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
Concepts
Author (1):
Kate Gawron Kate Gawron
Profile icon Kate Gawron
LinkedIn
Kate Gawron is a full-time senior database consultant and part-time future racing driver. She was a competitor in Formula Woman, and she aspires to become a professional Gran Turismo (GT) racing driver. Away from the racetrack, Kate has worked with Oracle databases for 18 years and AWS for five years. She holds four AWS certifications, including the AWS Certified Database – Specialty certification as well as two professional Oracle qualifications. Kate currently works as a senior database architect, where she works with customers to migrate and refactor their databases to work optimally within the AWS cloud.
See other products by 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

Overview of Amazon Neptune

Amazon Neptune is a graph database. As we learned in Chapter 2, Understanding Database Fundamentals, a graph database stores information as nodes and relationships rather than in tables and indexes or documents. You use a graph database when you need to know how things connect together, or if you need to store data that has a large number of links between records and you want to improve performance when running queries to find out those links. You can have queries in a relational database management system (RDBMS) that traverse multiple tables, but the more tables and links you add to the query, the worse the performance becomes, and this is where a graph database can make a big difference.

Let's start by looking at Neptune architecture and how it is deployed within AWS in the Cloud.

Neptune architecture and features

Amazon Neptune is deployed within a VPC. When it is deployed, you control access to it using subnetworks (subnets) and security...

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Authors (1)

Profile icon Kate Gawron
LinkedIn
Kate Gawron is a full-time senior database consultant and part-time future racing driver. She was a competitor in Formula Woman, and she aspires to become a professional Gran Turismo (GT) racing driver. Away from the racetrack, Kate has worked with Oracle databases for 18 years and AWS for five years. She holds four AWS certifications, including the AWS Certified Database – Specialty certification as well as two professional Oracle qualifications. Kate currently works as a senior database architect, where she works with customers to migrate and refactor their databases to work optimally within the AWS cloud.
Read more
See other products by Kate Gawron

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