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

Key-value and document databases

We are now going to look at key-value and document databases. These are both NoSQL databases, but they have different use cases:

  • Key-value databases have a unique key (such as a primary key) and then values stored next to the key. Key-value databases are useful when you have large amounts of data that needs to be queried quickly and when you have data that doesn't have clearly defined columns or data structures. Key-value databases let you store almost any data in the value component without the need to strictly define it, as you would with an RDBMS, where you would specify a string or integer, for example.
  • Document databases store data in formats such as JavaScript Object Notation (JSON). JSON is used widely in programming languages, so having a database that uses the same format makes it an efficient choice for many developers. We will discuss JSON in more detail later.

First, let's look at key-value databases more closely...