Concurrent Data Processing in Elxir by The Pragmatic Programmer-01.png

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Most engineers don’t think that concurrency is distinct from programming. Data processing includes transforming information in some way, like reporting, data aggregation, or analytics. On the other hand, concurrency involves significantly improving performance.

This course is designed to help you navigate the world of concurrency tools available in the Elixir ecosystem. You’ll explore popular modules and libraries like GenServer, GenStage, Flow, and Broadway. You’ll be able to ingest data, set up pipelines, and run concurrent processes with Elixir.

By the end of the course, you’ll have a wide range of new techniques to simplify your product, improve code performance, and make your application more resilient to increased workloads.

Concurrent Data Processing in Elixir

## Add more consumers

Rather than working in batches within a single process, we can easily scale our data processing pipeline by running more than one consumer, each responsible for scraping one page at a time. To do this, let’s adjust the demand of `PageConsumer`:

# Add more consumers

Rather than working in batches within a single process, we can easily scale our data processing pipeline by running more than one consumer, each responsible for scraping one page at a time. To do this, let’s adjust the demand of `PageConsumer`:

Learn how adding more consumers and buffering events will affect the output of our scrape_pages function.

Getting Started

Easy Concurrency with the Task Module

Long-Running Processes Using GenServer

Data Processing Pipelines with GenStage

Process Collections with Flow

Data Ingestion Pipelines with Broadway

Concluding the Course

Add More Consumers and Buffer Events

Add more consumers