In this course, you will learn various AWS Database services available on Amazon Cloud. Cloud Databases are the key component of the overall cloud adoption strategy and it hold significant weightage in the AWS Certification exams. You will learn about various kinds of cloud databases available on AWS that can be used to create a wide array of massive Data in form of Relational, NoSQL, document based, Graph and other kinds of databases. You can also create a data warehouse to keep historical data on the cloud. You will learn about the following Database services available on AWS in this course:
Amazon RDS (Relational Database Service)
It is easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. You can create Relational Databases such as MySQL on Amazon RDS.
It is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multiregional, multi-master database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and support peaks of more than 20 million requests per second. You can create NoSQL document based databases with DynamoDB.
It allows you to create a data warehouse on the cloud. You can store massive data that is generally meant for archival use.
It is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency.
It is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases.