Amazon Redshift: Best Practices

Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
Course info
Level
Advanced
Updated
Dec 23, 2020
Duration
3h 8m
Table of contents
Description
Course info
Level
Advanced
Updated
Dec 23, 2020
Duration
3h 8m
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Description

While many AWS Solutions Architects and SysOps administrators understand the RDBMS systems, they have little experience with data warehouse solutions. In this, course, AWS Redshift: Best Practices, you’ll learn to design, deploy, and maintain AWS Redshift solutions. First, you’ll explore the basic components and architectures of Redshift. Next, you’ll discover the many best practices associated with querying and operating Redshift. Finally, you’ll learn how to secure and monitor AWS Redshift. When you’re finished with this course, you’ll have the skills and knowledge of the best practices of AWS Redshift. These skills are needed to ensure your Redshift solution is performance, operationally sound, highly available, secure, and cost effective.

About the author
About the author

Anthony Sequeira is a ten+ year CCIE and enjoys writing and training about any topic within the vast scope of Information Technology. He is thrilled to be a content author for Pluralsight.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hello, everyone. My name is Anthony Sequeira, and welcome to my course entitled Amazon Redshift: Best Practices. I'm an AWS Solutions Architect, among other things, and you can find me at @ajsnetworking.com. I am so thrilled that you are going to take this journey with me regarding AWS and Big Data. We are going to learn the very best practices to designing, deploying, maintaining an AWS Redshift data warehouse. In this course, we're going to be covering some very, very important topics. You'll know exactly what you need to do to successfully plan for a great Redshift implementation, you'll be getting best practices on exactly how to deploy such a solution, and then best practices around maintenance and monitoring and operating and securing and even troubleshooting AWS Redshift. By the end of this course, you're going to be incredibly proficient with AWS Redshift, and that's because of this collection of best practices that you'll have around these important areas, like maintenance and security and deployment. Before beginning this course, you really should be familiar with the foundational concepts that make up AWS. For example, when we talk about bringing in data into Redshift from Amazon S3, I will assume you're very familiar with the S3 object‑based storage of AWS. Once you complete this course, I would highly encourage you to check out additional courses here at Pluralsight on topics like machine learning, and Database Migration Services, and maybe even the Internet of Things, which might be helping to populate your data warehouse today. Well, I hope you'll join me on this journey to learn AWS Redshift with my Amazon Redshift: Best Practices course here a Pluralsight.