Building Data Pipelines with AWS Glue

Unlock the power of cloud-based data processing. Data is the lifeblood of modern applications and analytics, and efficiently moving and transforming it is a critical skill. This course will guide you through the fundamental concepts and practical steps to build, manage, and optimize scalable data ingestion and transformation pipelines using AWS Glue, preparing you to handle real-world data challenges. What you'll learn: - Learn the core components and architecture of AWS Glue for serverless ETL - Understand how to connect to various data sources and ingest data into a data lake environment - Apply best practices for data transformation using Glue jobs and Spark - Configure the AWS Glue Data Catalog for efficient metadata management and discovery - Practice optimizing Glue job performance and managing costs for efficient data processing - Develop robust and automated data pipelines for continuous data flow The course begins with essential terminology and concepts of cloud ETL, then progresses through practical steps for setting up Glue environments, developing transformation scripts, and orchestrating automated workflows. You will read explanations and work through exercises to solidify your understanding. This course is designed for beginners with no prior experience in AWS Glue or cloud ETL. No prerequisites are required beyond basic computer literacy. Start your journey to becoming proficient in cloud data engineering today.