Data Engineering on AWS - The Complete Training
Design, Build, and Scale End-to-End Data Pipelines with the AWS Analytics Ecosystem
Created by Ashish Prajapati
Explore the essentials of data engineering in the AWS cloud, from data cataloging and transformation to real-time streaming and big data processing. Develop practical skills for building and scaling modern data pipelines using the full AWS analytics ecosystem. Gain confidence in designing robust, cloud-based data solutions.
Packt | Jul 2025 | 1136 min
What You Will Learn
You will start with foundational concepts and quickly move into hands-on projects using AWS services. Each step builds your skills through practical exercises, real-world scenarios, and guided workflows. By the end, you will be ready to design, implement, and manage scalable data pipelines in the AWS cloud.
Key Features
- Build and manage ETL pipelines with AWS Glue and Databrew for seamless data integration
- Deploy, optimize, and scale data warehouses and big data jobs using Redshift and EMR
- Integrate real-time streaming, analytics, and visualization with Kinesis, Athena, and QuickSight
Target Audience
Ideal for data engineers, cloud engineers, and developers looking to expand their AWS data architecture skills. If you have a basic understanding of cloud computing, databases, and programming, you will benefit most. No deep AWS experience is required, just a willingness to learn and apply new cloud tools.
