This section of the Solution Architect Associate learning path introduces you to the AWS database services relevant to the SAA-C03 exam. We then understand the service options available and learn how to select and apply AWS database services to meet specific design scenarios relevant to the Solution Architect Associate exam.
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Learning Objectives
- Understand the various database services that can be used when building cloud solutions on AWS
- Learn how to build databases using Amazon RDS, DynamoDB, Redshift, DocumentDB, Keyspaces, and QLDB
- Learn how to create Elasticache and Neptune clusters
- Understand AWS database costs
- Learn about data lakes and how to build a data lake in AWS
Hello, and welcome to this course on databases in AWS, where we’re here to help you on your journey to prepare for the AWS Certified Solutions Architect - Associate certification.
Before we get started, I’d like to introduce myself. My name is Danny Jessee, and I am one of the trainers here at Cloud Academy, specializing in AWS – Amazon Web Services – and AWS certifications. In this course, the AWS team will be presenting a series of lectures that introduce the various database services currently available in AWS that may be covered on the exam.
Feel free to contact me with any questions using the details shown on the screen, or you can always get in touch with us here at Cloud Academy by sending an email to support@cloudacademy.com, where one of our Cloud experts will reply to your question.
This course has been specifically curated to help you pass the AWS Certified Solutions Architect - Associate exam and is ideal for anyone who is looking to learn more about the various database services in AWS in preparation for the exam.
The objective of this course is to provide an introduction to database services in AWS for solution architects, including:
- Managed relational databases using the Amazon Relational Database Service, or RDS, along with purchasing options and pricing; and
- Managed NoSQL databases including Amazon DynamoDB.
You’ll also learn about several other data structure stores and database services offered by AWS and see demonstrations of each of the following in action:
- Amazon ElastiCache;
- Amazon Neptune;
- Amazon Redshift;
- Amazon DocumentDB;
- Amazon Keyspaces; and
- The Amazon Quantum Ledger Database, or QLDB.
Finally, we’ll wrap up the course with a discussion of data lakes on AWS, including defining what a data lake is, as well as explaining the differences between data lakes and data warehouses.
Together with the other courses in this learning path, we’ll cover all of the key tools, technologies, and concepts from the AWS Certified Solutions Architect - Associate exam guide and ensure that you are fully prepared to sit this exam.
The AWS Certified Solutions Architect - Associate certification has been designed for anyone who has experience designing cloud solutions that use AWS services to meet current and future business requirements, as well as architectures that are secure, resilient, high-performing, and cost-optimized in accordance with the AWS Well-Architected Framework. All of the AWS Cloud concepts introduced in this course will be explained and reinforced from the ground up.
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Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.
Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.