Introduction to Amazon Redshift: Data Management Essentials

Introduction to Amazon Redshift: Data Management Essentials

1h 10mBeginner2025-11-13

Authors

Jeremy Villeneuve

Jeremy Villeneuve

Founder of Halvanta, LLC, an IT consulting firm

Course details

Amazon Redshift is an approachable, easy-to-use option for storing, querying, and managing large amounts of data—offering fast, cloud-based analytics and data warehousing at scale. In this course, instructor Jeremy Villeneuve—the founder of IT consulting firm Halvanta—gives you a quick, hands-on introduction to the essential perks of Redshift. Jeremy begins with the basics, offering beginner-level coverage of big data fundamentals, Redshift, data warehousing, and relational database management. He then helps you explore the Redshift user interface, get your data into Redshift, and start writing your own queries using a hands-on tutorial and sample dataset. If you’re an early-career developer, Jeremy shows you what you need to know to get the most out of Redshift as a product, including best practices for data optimization, data distribution, storage, cost management, and more.

Learning objectives
Understand key terms around big data.
Explain the fundamentals of relational databases and how they apply to managing data in Amazon Redshift.
Use Redshift with a sample dataset by following along with a hands-on tutorial.
Discuss best practices for using Redshift.

Skills covered

Data Resource ManagementIntroduction toData EngineeringAmazon Web Services (AWS)AmazonDatabase ManagementData Science

Concepts

Introduction

  • Turn data into information with Redshift

Big Data Fundamentals

  • When you need big data
  • How relational databases retrieve data
  • Database locks - Gatekeepers of your data
  • Separating your old and new data
  • Data warehouse types
  • Challenge - A proposal for a data warehouse
  • Solution - A proposal for a data warehouse

Using Redshift

  • What is Redshift
  • Creating a workgroup
  • Querying Redshift
  • Getting your data into Redshift
  • Using CoderPad for this code challenge
  • Solution - Write your own query

Best Practices for Redshift

  • Make Redshift faster with data optimization
  • Distribute your data evenly across the cluster
  • Managing data storage and costs
  • Challenge - Choose a distribution style
  • Solution - Choose a distribution style

Conclusion

  • More Redshift features to explore
40,000 Toman