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Big Data on AWS

6 Labs · 40 Credits · 3h 19m

Use Case (Beginner) 9 big data on aws option 02

This quest is designed to teach you how to work with AWS services to manage big data on the cloud.

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Creating Amazon EC2 Instances (for Linux)

This lab leads you through the steps to launch and configure your first virtual machine in the Amazon cloud. You will learn about using Amazon Machine Images to launch Amazon EC2 Instances, creating Key Pairs for SSH authentication, securing network access to Amazon EC2 Instances with Security Groups, automatically configuring Amazon EC2 Instances with bootstrapping scripts, and attaching Elastic IPs to Amazon EC2 Instances to provide static Internet addresses. At the end of this lab you will have deployed a simple web server which includes an informational page to display details of your virtual web server instance.

Icon  fundamental Fundamental 8 Credits 25 Minutes

Creating Amazon EC2 Instances with Microsoft Windows

This lab demonstrates how to launch and configure a Windows virtual machine (instance) in the Amazon cloud. It will cover the use of Windows Amazon Machine Images (AMI’s) to launch Amazon EC2 Instances, bootstrapping using Powershell, creating Key Pairs for authentication, securing network access to Amazon EC2 Instances with Security Groups and attaching Elastic IPs to Amazon EC2 Instances to provide static Internet addresses.

Icon  fundamental Fundamental 8 Credits 25 Minutes

Working with AWS Elastic Beanstalk

This lab demonstrates how to use AWS Elastic Beanstalk to deploy a simple Ruby on Rails application. In this lab, you will deploy an application that will describe your concept or idea and allow viewers to subscribe to be notified upon launch. The lab will cover using AWS Elastic Beanstalk with an Amazon RDS database to store subscriber email addresses.

Icon  fundamental Fundamental 8 Credits 40 Minutes

Using Open Data with Amazon S3

This lab demonstrates how to upload data to Amazon S3 and make it available for anyone to access via a web browser. You will learn how to create an Amazon S3 bucket, configure it to host a website, upload objects to it, and use JavaScript to display those objects on a web page. Along the way, you’ll learn some best practices for creating open data. At the end of this lab you will have deployed a simple web site that makes data easy to access and provides basic documentation of the data.

Icon  fundamental Fundamental 8 Credits 35 Minutes

Working with Amazon Elastic Block Store (EBS)

This lab focuses on Amazon Elastic Block Store (EBS), a key underlying storage mechanism for Amazon EC2 instances. In this lab, you will learn how to create an EBS volume, attach it to an instance, apply a file system to the volume, and then take a snapshot backup. To successfully complete this lab, you should be familiar with basic Amazon EC2 usage and with basic Linux server administration. You should feel comfortable using the Linux command-line tools.

Icon  fundamental Fundamental 8 Credits 25 Minutes

Building Your First Amazon Virtual Private Cloud (VPC)

This lab demonstrates how to build an Amazon Virtual Private Cloud (VPC) which contains private and public subnets, routing tables, and a NAT server to allow private subnets to access the Internet.

Icon  fundamental Fundamental 8 Credits 30 Minutes

Analyze Big Data with Hadoop

In this lab, you will deploy a fully functional Hadoop cluster, ready to analyze log data in just a few minutes. You will start by launching an Amazon EMR cluster and then use a HiveQL script to process sample log data stored in an Amazon S3 bucket. HiveQL is a SQL-like scripting language for data warehousing and analysis. You can then use a similar setup to analyze your own log files.

Icon  intro Introductory Free 40 Minutes

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