In the modern world, data has become a critical factor in companies making decisions about their business and understanding their customers. But making sense of this data is no small or cheap task. In this course, Managing Big Data with AWS Storage Options, you will learn how to process large amounts of data generated by your company using Amazon Web Services. First, you will learn how to collect, process and store petabytes of data into Amazon Redshift using AWS Glue. Next, you will discover how to process and store real-time data using Amazon Kinesis Data Firehose. Finally, you will explore how to use Amazon Elastic Map Reduce to provision clusters and perform data analysis on your big data, by turning it into meaningful insights. At the end of this course, you will be able to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data, to take your business to the next level. In order to get the most out of this course, you will need to have an AWS account to follow the exercises demonstrated.
Author Name: Nertil Poci
Author Description:
Nertil is a freelance software architect working with different companies around the globe to help them bring their products to market. He has a master’s degree in computer science with a focus in software architecture. One of his main passions is discovering new tools and libraries that exists out there. Knowing what tools are available building apps much easier and gives you the confidence you need when challenging task comes along. Nertil enjoys building practical open source apps in his spar… more

Table of Contents

• Course Overview
  1min
• Setting up Amazon Redshift
  23mins
• Populating Amazon Redshift with Data
  39mins
• Creating and Securing Hadoop Environments with Amazon EMR
  33mins