Book Image

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

By : Kate Gawron
5 (1)
Book Image

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

5 (1)
By: Kate Gawron

Overview of this book

The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You’ll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide.
Table of Contents (24 chapters)
1
Part 1: Introduction to Databases on AWS
Free Chapter
2
Chapter 1: AWS Certified Database – Specialty Overview
5
Part 2: Workload-Specific Database Design
12
Part 3: Deployment and Migration and Database Security
16
Part 4: Monitoring and Optimization
20
Part 5: Assessment
21
Chapter 16: Exam Practice

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...