CloudAcademy
  1. Home
  2. Content Library
  3. Amazon Web Services
  4. Courses
  5. AWS Big Data Specialty - Storage

Introduction

The course is part of this learning path

Big Data – Specialty Certification Preparation for AWS

course-steps 14 lab-steps 5 quiz-steps 3

Contents

keyboard_tab
Course Introduction
1
Introduction3m 19s
Big Data Storage
2
DynamoDB33m 56s
3
Dynamo DB Reference Architecture1m 52s
4
Relational Database Services28m 23s
5
Relational Database Services Reference Architecture1m 31s
6
Redshift36m 58s
7
Redshift Reference Architecture 1m 30s
play-arrow
Start course
Overview
Transcript
DifficultyIntermediate
Duration1h 47m
Students414

Description

Course Description:

Course two of the Big Data Specialty learning path focuses on storage. In this course 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.

Intended audience:

This course is intended for students looking to increase their knowledge of the AWS storage options available for Big Data solutions. Pre-requisites - While there are no formal pre-requisites students will benefit from having a basic understanding of cloud storage solutions. Recommended courses - Storage Fundamentals , Database Fundamentals

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.

This Course Includes:

Over 90 minutes of high-definition video.

Real-Life Scenarios using AWS Reference Architecture

What You'll Learn:

  • Course Intro: What to expect from this course.
  • Amazon DynamoDB: How you can use Amazon DynamoDB in Big Data scenarios.
  • Amazon DynamoDB Reference Architecture: A real-life model using DynamoDB
  • Amazon Relational Database Service: A look at how Amazon RDS works and how you can use it in Big Data scenarios.
  • Amazon Relational Database Service Reference Architecture: A real-life model using RDS.
  • Amazon Redshift: An overview of Amazon Redshift works and how you can use it in Big Data scenarios.
  • Amazon Redshift Reference Architecture: A real-life model using Redshift.

About the Author

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.