Data automation is essential for modern cloud computing, and AWS Glue simplifies ETL processes, data cataloging, and integration with serverless services like AWS Lambda. You will gain hands-on experience in configuring AWS Glue, optimizing ETL pipelines, and triggering workflows with Lambda, enabling learners to create efficient and automated data solutions.
This course introduces AWS Glue and its powerful ETL capabilities, including how to crawl data sources, build a centralized data catalog, and transform raw data into structured formats for analytics. Using a practical example with customer and order datasets, you'll learn how to create and schedule ETL jobs that clean, standardize, and organize this data for downstream reporting. The course then shifts to AWS Lambda, where you’ll build serverless functions, configure event-based triggers (like when a new order file is uploaded to an S3 bucket), and integrate them with Glue to automate data workflows in real time. Through hands-on exercises and projects—including building an ETL job and setting up an incremental data loading pipeline into Amazon Redshift—you’ll gain the skills to design, deploy, and manage robust, cloud-native data pipelines using AWS services. This course is designed for data analysts and data engineers who are responsible for creating, managing, and optimizing data pipelines. It also serves IT professionals aiming to enhance their skills in automated data processing using modern cloud tools. Additionally, AWS newcomers interested in building foundational knowledge of cloud-based data workflows will find this course an accessible and practical starting point. Whether you work in a startup or an enterprise setting, the skills taught here are applicable across industries that rely on cloud-based data automation. To succeed in this course, learners should have a basic understanding of data-related concepts such as databases, structured data, and ETL (Extract, Transform, Load) processes. Familiarity with general cloud computing terminology and principles is also expected. However, no prior experience with AWS Glue, Lambda, or programming is required, making this course beginner-friendly and approachable for a wide range of learners. Anyone with a foundational understanding of data systems will be well-equipped to follow along with the hands-on exercises and examples. By the end of the course, learners will be able to describe the core features and architecture of AWS Glue as it relates to data integration. They will analyze how Glue enhances ETL operations and centralizes data cataloging. Learners will also gain the ability to design simple workflows that integrate AWS Glue with Lambda functions and evaluate best practices for implementing these tools effectively and responsibly within a cloud data ecosystem. These skills will empower learners to automate data workflows, reduce manual processing, and build scalable solutions using AWS services.
