Hands-On Apache Beam with Kotlin: Practical Data Pipeline Exercises

Processing large-scale data efficiently requires both powerful frameworks and expressive programming languages. This text-based course guides you through the fundamentals of building data processing pipelines using Apache Beam and Kotlin, combining the unified programming model of Beam with the modern, concise syntax of Kotlin. You will transition from understanding core data pipeline concepts to writing, refactoring, and optimizing your own pipeline code through structured, written exercises. What you'll learn: • Understand the core concepts of Apache Beam, including Pipelines, PCollections, and transforms. • Implement batch and streaming data pipelines using Kotlin's expressive and type-safe syntax. • Apply windowing, triggering, and accumulation strategies to handle out-of-order data. • Write custom PTransforms to modularize and reuse your data processing logic. • Practice debugging and testing Apache Beam pipelines using local runners. • Integrate modern Kotlin features like null safety and data classes to write cleaner pipeline code. Starting with fundamental definitions and setup, you will progress through a series of written programming challenges designed to build your confidence step by step. This course is designed for software engineers, data engineers, and Kotlin developers who are new to Apache Beam and want a practical, text-based path to mastery. No prior experience with Apache Beam is required. Start reading today to build your data engineering skills with Kotlin and Apache Beam.