Gain insights into data processing and concurrency in Elixir. Explore GenServer, GenStage, Flow, and Broadway to enhance performance, set up pipelines, and handle increased workloads efficiently.

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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

# Elixir processes

We’ve come a long way from running synchronous code and patiently waiting for it to complete. We covered Elixir processes and used the `Task` module to work concurrently and in parallel, easily avoiding timeout errors and unexpected exceptions. 

# Supervisors

We also learned about supervisors, which are the foundation of building fault-tolerant Elixir applications. 

# Limitations of the Task module

Although the `Task` module is  powerful and versatile, it is only useful for running one-off functions concurrently. As a result, `Task` processes are short-lived and exit as soon as complete.

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Let's wrap up the contents we've learned so far.

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

Wrapping Up

Elixir processes