master DBMS services on Amazon cloud
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 AWSÂ 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 database, NoSQL, document based, Graph database 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 AWSÂ in this course:
What is 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.
What is Amazon DynamoDB?
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.
What is Amazon Redshift?
It allows you to create a data warehouse on the cloud. You can store massive data that is generally meant for archival use.
What is Amazon Neptune?
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.
What is Amazon Elasticache?
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.
On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services.
You would be in a better position to implement all DBMS concepts on AWS cloud using various kinds of database services out there.
Flexibility to develop applications with DynamoDB, Neptune
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I am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like...
I bought this for the neptune part and it was a lot of product page discussion. The practical example is only a setup in AWS, not really a practical example.
Very hard to hear and understand instructor. Volume is not consistent, and its hard to understand his english.
The examples are just browsing through the screens on AWS console. No practical use cases.
I took this course because I wanted was stuck with Neptune and wanted to see how to create and query some sample data using hands on. No luck.
TOO MUCH BACKGROUND NOICE
good
I got this course specifically for AWS Neptune. The intro video rehashes what available to read on the AWS Neptune web page and the practical is just literally going through the dashboard for setting up the Neptune instance.
These items would be fine if it was followed by a sample dataset, that dataset was loaded into the database and then a query was made and as a bonus a visualization would have been nice but not required.
I understand that the point of this course was to take a few DB's in AWS and intro them and set them up. However, that's never an issue for any body putting in basic effort. It's getting data into the system, querying it and viewing it that's work paying for.
I'm really disappointed in this course...
A balaced tutorial with plenty of practical excercises and video lectures.
nicely explained cloud databases
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Daniel N.
Developed a better understanding about databases on cloud, with differnt options and examples.