Redshift

Intermediate
36m 58s
3,971
3.8/5

In this lesson, we outline the key storage options for big data solutions. We determine data access and retrieval patterns, and some of the use cases that suit particular data patterns such as evaluating mechanisms for capture, update, and retrieval of catalog entries. We learn how to determine appropriate data structure and storage formats, and how to determine and optimize the operational characteristics of a Big Data storage solution. 

Learning Objectives

  • Recognize and explain big data access and retrieval patterns.
  • Recognize and explain appropriate data structure and storage formats.
  • Recognize and explain the operational characteristics of a Big Data storage solution.

Intended Audience

This lesson is intended for students looking to increase their knowledge of the AWS storage options available for Big Data solutions.

Prerequisites

While there are no formal prerequisites for this lesson, students will benefit from having a basic understanding of cloud storage solutions. Our lessons on AWS storage fundamentals and AWS Database Fundamentals will give you a solid foundation for taking this present lesson.

Updates

Amazon Aurora is now MySQL and PostgreSQL-compatible.

About the Author
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Shane has been emerged in the world of data, analytics and business intelligence for over 20 years, and for the last few years he has been focusing on how Agile processes and cloud computing technologies can be used to accelerate the delivery of data and content to users.

He is an avid user of the AWS cloud platform to help deliver this capability with increased speed and decreased costs. In fact its often hard to shut him up when he is talking about the innovative solutions that AWS can help you to create, or how cool the latest AWS feature is.

Shane hails from the far end of the earth, Wellington New Zealand, a place famous for Hobbits and Kiwifruit. However your more likely to see him partake of a good long black or an even better craft beer.

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