Learn Amazon RDS,Dynamo DB,Aurora, Redshift, Redis, Memcache
Introduction to Amazon database Services includes Amazon Aurora, Dynamo DB, Amazon Redshift,Redis, Memcache
What you will learn
AWS Database Services/Products
What is Relation Database in Simple Terms?
What is Amazon RDS ?
Why do we need Amazon Aurora ?
Concept of Database Scaling Concept and Its Types
Demo: Provision Amazon Aurora and Explore Various Options
Why do we need NoSQL Databases
Motivation Behind DynamoDB Creation ?
Case Study: Amazon and Expedia
Demo :Provision Dynamo DB
What is Data Warehousing ?
Amazon Redshift Overview
Philips HealthCare- Redshift Case Study
Why take this course?
In this Introduction to AWS Databases Tutorial we shall be discussing in detail about Amazon’s Relational Database Management service (AWS RDS) and shall also do a hands-on, but first let us understand why it came into existence.
You will learn about complete Introduction to Amazon databases which includes Amazon Aurora, Dynamo DB, Amazon Redshift,Redis, Memcache.
The world is changing, with every idea being converted into an application, millions of new applications go online every day. Now for any application or project to be successful, it should have a unique idea behind it.
As the cloud continues to drive down the cost of storage and compute, a new generation of applications have emerged, creating a new set of requirements for databases. Such applications need databases to store terabytes to petabytes of new types of data, provide access to the data with millisecond latency, process millions of requests per second, and scale to support millions of users anywhere in the world. Now to handle these kind of requirements, organizations need both RDS And Non RDS databases that are purpose-built to handle the specific needs of applications. AWS offers the broadest range of databases purpose-built for your specific application use case.
AWS fully managed database services include relational databases for heavy transactions applications, NOSQL databases for internet-scale applications, Redshift used a data warehouse for analytics, an in-memory data store for caching and real-time workloads, a graph database for building applications with highly connected data. In this tutorial you will all learn all these variety of databases along with Real Life CASE STUDIES
Who this course is for:
Database administrators
Software engineers
IT Engineers
Cloud engineers
Software architects
Cloud Operators