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

Amazon Athena

Amazon Athena is a serverless, data querying service. It is designed to allow you to run queries against data stored within an AWS S3 bucket without needing to import it into a database first. Athena uses a SQL programming language called Presto, which supports common SQL syntax such as joins and where clauses. Athena can connect to data within an S3 bucket on its own, or it can use a schema that's been created by AWS Glue. If you do not use AWS Glue, then Athena cannot use indexes or partitions to help speed up your queries, so Athena without Glue is only suitable for smaller datasets.

Athena offers a lot of benefits around querying data without you having to import it into a database first, but it also has some restrictions that you'll need to know for the Database Specialty exam. Let's look at some of the benefits and limitations of using Amazon Athena:

  • The following are the benefits:
    • Uses SQL: You can use SQL syntax to run the queries. This...