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Big Data on AWS

Learn how to build and leverage best practices for big data solutions on AWS.

GK# 4509

Course Overview

In this course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Delivery Format Options

  • Virtual Classroom Live

    Virtual Classroom Live

    Experience expert-led online training from the convenience of your home, office or anywhere with an Internet connection.


    $2095 CAD

    3 day

  • Private Group Training

    Private Group Training

    Train your entire team in a private, coordinated professional development session at the location of your choice.

    Receive private training for teams online and in-person.

Request a date or location for this course.

What You'll Learn

  • Apache Hadoop in the context of Amazon EMR
  • The architecture of an Amazon EMR cluster
  • Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
  • Appropriate AWS data storage options for use with Amazon EMR
  • Ingesting, transferring, and compressing data for use with Amazon EMR
  • Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
  • Work with Amazon Redshift to implement a big data solution
  • Leverage big data visualization software
  • Appropriate security options for Amazon EMR and your data
  • Perform in-memory data analysis with Spark and Shark on Amazon EMR
  • Options to manage your Amazon EMR environment cost-effectively
  • Benefits of using Amazon Kinesis for big data


  • Familiarity with big data technologies, including Apache Hadoop and HDFS
  • Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required
  • Working knowledge of core AWS services and public cloud implementation
  • Students should complete the AWS Essentials course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

Who Needs To Attend

  • Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators
  • Data scientists and data analysts interested in learning about big data solutions on AWS

Course Outline

Download Course Outline