Cloud Data Warehouses

Course

In this course, you’ll learn to create cloud-based data warehouses. You’ll sharpen your data warehousing skills, deepen your understanding of data infrastructure, and be introduced to data engineering on the cloud using Amazon Web Services (AWS).

Intermediate
2 weeks
Last Updated November 5, 2024

Skills you'll learn:

Data extractionInfrastructure as code

Prerequisites:

Command line interface basicsIntermediate SQLBasic githubIntermediate PythonAmazon web services basics

Intermediate

2 weeks

Last Updated November 5, 2024

Skills you'll learn:

Data extraction • Infrastructure as code • Olap cubes • Table design

Prerequisites:

Command line interface basics • Intermediate SQL • Basic github

Course Lessons

Lesson 1

Introduction to Cloud Data Warehouses

Welcome to Cloud Data Warehouse with Amazon Web Services. In this lesson, you'll learn more about the course and set yourself up for success!

Lesson 2

Introduction to Data Warehouses

In this lesson, you'll be introduced to the business case for data warehouses as well as architecture, extracting, transforming, and loading data, data modeling, and data warehouse technologies.

Lesson 3

ELT and Data Warehouse Technology in the Cloud

In this lesson, you'll learn about ELT, the differences between ETL and ELT, and general cloud data warehouse technologies.

Lesson 4

AWS Data Warehouse Technologies

In this lesson, you'll learn about AWS Services and how to set up Amazon S3, IAM, VPC, EC2, and RDS. You'll build a Redshift data warehouse cluster and learn how to interact with it.

Lesson 5

Implementing a Data Warehouse on AWS

In this lesson, you'll learn to implement a data warehouse on AWS

Lesson 6 • Project

Data Warehouse

In this project, you'll build an ETL pipeline that extracts data from S3, stages data in Redshift, and transforms data into a set of dimensional tables for an analytics team.

Taught By The Best

Matt Swaffer

General Manager, MBS

Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.

Valerie Scarlata

Senior Technical Content Developer at Udacity

Valerie is a Sr. Technical Content Developer at Udacity who has developed and taught a broad range of computing curricula for multiple colleges and universities. She is a former professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and full-stack application development.

The Udacity Difference

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.