Data Engineering with AWS
Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Created by Gareth Eagar
Gain practical experience designing and building data pipelines using AWS. Explore the latest AWS services and modern data engineering approaches, from ingestion to analysis. Develop the confidence to architect robust, scalable solutions for real-world data challenges.
Packt | Oct 2023 | 636 min
What You Will Learn
You will start by learning core AWS data engineering concepts and essential tools. Each section guides you through hands-on exercises and real-world scenarios, helping you design, build, and optimize data pipelines step by step. You'll explore advanced topics like data mesh, transactional data lakes, and DataOps practices to round out your skills.
Key Features
- Design and build AWS-based data pipelines for ingestion, transformation, and analysis
- Implement data governance, data mesh, and modern data platform architectures
- Apply DataOps practices to automate, monitor, and optimize your data workflows
Target Audience
This course is ideal for data engineers, analysts, and architects who want to expand their AWS expertise. If you have a basic understanding of big data concepts or Python, you'll quickly build on your foundation. It's also a great fit for anyone new to AWS data engineering who wants practical, actionable skills to design and manage cloud-based data solutions.
