Data Engineering with AWS Cookbook
A recipe-based approach to help you tackle data engineering problems with AWS services
+1Created by Trâm Ngọc Phạm, Viquar Khan, Gonzalo Herreros González and 1 more
Explore practical ways to manage data lakes, orchestrate pipelines, and build serving layers using AWS. Gain hands-on experience with services like Glue, EMR, and Redshift while learning best practices in data governance, DevOps, and infrastructure automation. Tackle real-world data engineering challenges with confidence.
Packt | Nov 2024 | 528 min
What You Will Learn
You will work through practical scenarios that mirror daily challenges faced in cloud data engineering. Each topic is broken down into clear, actionable steps using AWS tools, so you can apply what you learn directly to your own projects. By combining hands-on exercises with real-world examples, you will build both confidence and technical skill.
Key Features
- Design and secure scalable data lakes using AWS services and best practices
- Build and automate data pipelines with Glue, EMR, and other AWS tools
- Apply DevOps and data governance techniques to manage and optimize workflows
Target Audience
Ideal for data engineers and big data professionals who want to deepen their AWS expertise. If you are responsible for building or managing data platforms and have basic AWS knowledge, you will benefit from practical strategies to optimize large-scale data solutions and streamline your workflow.
