Big Data on AWS
6 Laboratórios · 33 Créditos · 3h 35mUse Case (Beginner)
This quest is designed to teach you how to work with AWS services to manage big data on the cloud.
This lab provides you with a basic overview of launching, resizing, managing, and monitoring an Amazon EC2 instance. Please DO NOT change the auto assigned region.
introductory 1 Crédito 40 Minutos
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.
fundamental 8 Créditos 40 Minutos
Fundamental 8 Créditos 35 Minutos
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.
fundamental 8 Créditos 25 Minutos
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.
Fundamental 8 Créditos 30 Minutos
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.
Introductory Gratuito 40 Minutos