Hadoop in the Cloud

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/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.

Target Audience
Developers interested in expanding their knowledge of Hadoop from the operations perspective

Prerequisites
None

Expected Duration (hours)
2.9

Lesson Objectives

Hadoop in the Cloud

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

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

describe the use of SSH key pairs for remote access

set up S3 and import data

provision a micro instance of EC2

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

use the command line interface

describe the various ways to move data into AWS

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

write an Elastic MapReduce script for AWS

Course Number:
df_ahop_a02_it_enus

Expertise Level
Beginner