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Data Engineering on AWS

Build modern data pipelines on AWS. Master S3 data lakes, Glue ETL, Athena, Kinesis streaming, Redshift, and Lake Formation for analytics at scale.

13 lessons
4 hours
Updated Apr 2026
Course Content ↓
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By CloudaQube Team

What You'll Learn

Build data lakes with S3 and Lake Formation
Process data with AWS Glue ETL
Query data with Amazon Athena
Stream data with Kinesis
Load and query data with Redshift

Course Content

3 modules · 13 lessons
AWS S3 Data Lake ArchitecturePreview22m
AWS Data Lake ArchitecturePreview15m
AWS S3 Data Lake ArchitecturePreview22m
Glue and Athena CLI20m
Quiz: Data Lake and Glue8m

Prerequisites

  • AWS fundamentals
  • Basic SQL knowledge
  • Python basics

About the Instructor

C

CloudaQube Team

Last updated Apr 2026

Included in paid plans

LevelIntermediate
Duration4 hours
Lessons13 lessons

This course includes

  • 6 video lessons
  • 1 hands-on walkthrough
  • 3 module quizzes
  • Practice any module in Labs Studio
  • Progress tracking
  • Module 1 free, no card required
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