Elixir Flow: Building Concurrent Data Processing Pipelines

Many Elixir applications need to handle large volumes of data efficiently, but standard iteration tools often become bottlenecks when performance is critical. This course provides a hands-on introduction to the Elixir Flow library, enabling you to design robust and highly concurrent data processing workflows that scale far beyond simple enumeration. What you'll learn: * Understand the core concepts of concurrency, parallelism, and backpressure management within data pipelines. * Compare and contrast Flow with standard Elixir modules like Enum, Stream, and Task.async_stream for selecting the right tool. * Design and implement complex concurrent data pipelines using Flow sources, transformers, and sinks. * Apply strategies for handling errors and ensuring fault tolerance in Flow pipelines using supervision principles. * Practice optimizing Flow configurations to manage resource utilization and maximize throughput for large datasets. The course begins by establishing foundational knowledge of Elixir concurrency and the limitations of sequential processing before diving into practical Flow implementations and optimization techniques. This course is designed for beginner Elixir developers who understand basic Elixir syntax and want to learn how to process data efficiently and concurrently. No prior experience with concurrent programming is required. Start designing high-performance data processing systems today.