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

Working with Neptune

One of the first things to understand about graph databases is how they store data and, specifically, how Neptune stores data. Unlike RDBMS and some NoSQL systems (such as DynamoDB), graph databases do not use Structured Query Language (SQL) for querying. Instead, Neptune supports two different graph query languages: Gremlin and SPARQL Protocol and RDF Query Language (SPARQL). You can only use one language at a time in your database, and each language has its own requirements for how the data will be stored within Neptune and how you can utilize it. If you use Gremlin, the data stored will be using the Property Graph data framework, and if you choose SPARQL, you will be using the Resource Description Framework (RDF). SPARQL looks similar to SQL with SELECT and INSERT statements, but has some major differences with how it handles WHERE clauses and the syntax. Gremlin will appear unfamiliar to database administrators (DBAs) as it uses a structure more similar to...