• Online, Self-Paced
Course Description

Amazon Web Services, also known as AWS, is a secure cloud-computing platform offered by Amazon.com. This course introduces AWS and it's most prominent tools such as IAM, S3, and EC2. Additionally we will cover how to install configure and use a Hadoop cluster on AWS. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.

Learning Objectives

Amazon Web Services

  • start the course
  • describe how cloud computing can be used as a solution for Hadoop
  • recall some of the most come services of the EC2 service bundle
  • recall some of the most common services that Amazon offers

Setup of AWS

  • describe how the AWS credentials are used for authentication
  • create an AWS account
  • describe the use of AWS access keys
  • describe AWS identification and access management
  • set up AWS IAM

AWS System Security

  • describe the use of SSH key pairs for remote access

AWS S3 and EC2

  • set up S3 and import data
  • provision a micro instance of EC2

Setup of AWS Cluster

  • prepare to install and configure a Hadoop cluster on AWS
  • create an EC2 baseline server
  • create an Amazon machine image
  • create an Amazon cluster
  • describe what the command line interface is used for

Moving Data

  • use the command line interface
  • describe the various ways to move data into AWS

Elastic MapReduce

  • recall the advantages and limitations of using Hadoop in the cloud
  • recall the advantages and limitations of using AWS EMR
  • describe EMR End-user connections and EMR security levels
  • set up an EMR cluster
  • run an EMR job from the web console
  • run an EMR job with Hue
  • run an EMR job with the command line interface

Practice: Cloud Computing

  • write an Elastic MapReduce script for AWS

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Cyber Operational Planning
  • Cyber Operations
  • Data Administration