AWS has some great options for persistent storage. Whether it’s a structured database, a data lake, or global caching, AWS has a solution. In this course, we will look at those solutions together. As builders, we will go beyond surface details and examine how we can create solutions that improve performance or the supported applications. And in some cases, we will change how we look at a particular service to better understand its potential.
Together we will look at the following:
-Relational databases using the Amazon Relational Database Service
-Building resilient solutions in Amazon RDS
-Understanding the performance and architectural implementation of Amazon Aurora
-A quick talk on the evolution of NoSQL
-Building in Amazon DynamoDB, including performant table design, data modeling, streaming, concurrency, etc.
-Working with Amazon CloudFront to build global caching systems
-How caching for Amazon DynamoDB can be cached using DynamoDB Accelerator (DAX)
-Support for database caching using ElasticCache
-Big data support using RedShift, EMR, QuickSight, and Kinesis
It’s a course with many drill-downs to improve your knowledge and understanding of databases, big data, and caching in AWS. So whether you are building a primary MySQL database to support a small application, explaining the difference between SQL and NoSQL, starting a big data project, or improving the performance of your database applications, this is the course for you.
