AWS Big Data Specialty - Storage

Difficulty: Intermediate

Duration: 3 minutes and 19 seconds

Students: 3,994

Rating: 3.8/5

This lesson is now outdated.

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.

Covered Topics