AWS Hadoop Fundamentals

AWS Hadoop Fundamentals introduces you to the basics of big data and how Hadoop as a framework handles it. This course discusses Hadoop architectures and how large sets of data are stored and processed. The course explains several tools used in the process: MapReduce, Hive, and Pig. The course also examines Hadoop as part of the AWS big data ecosystem.

Intended Audience

This course is intended for:

• Any individuals interested in learning the fundamental concepts of Hadoop, MapReduce, Hive, and Pig
• Individuals responsible for designing and implementing big data solutions

Course Objectives

In this course, you will learn how to:

• Describe the Hadoop framework and tools used
• Explain what MapReduce is and how it processes data
• Explain how the Hive data warehouse system is leveraged with Hadoop
• Identify the components of Hive and Pig
• Describe the Pig Latin query language
• Recognize how Hadoop fits into the AWS big data ecosystem

Prerequisites

We recommend that attendees of this course have the following prerequisites:

• Basic familiarity with big data workloads

Delivery Method

This course is delivered through:

• Digital training

Duration

• 90 minutes

Course Outline

This course covers the following concepts:

• Big data and Hadoop
• Hadoop and MapReduce
• Hive and Pig
• AWS and Big Data