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

## Process link

Processes in Elixir can be linked together, and `Task` processes are usually linked to the process that automatically started them. This link is called a **process link**. Process links have an important role when building concurrent and fault-tolerant applications. They help us immediately shut down parts of the system or even the whole system when needed. This prevents the application from running in a bad state. The following figure shows three processes linked together:

# Process link

Processes in Elixir can be linked together, and `Task` processes are usually linked to the process that automatically started them. This link is called a **process link**. Process links have an important role when building concurrent and fault-tolerant applications. They help us immediately shut down parts of the system or even the whole system when needed. This prevents the application from running in a bad state. The following figure shows three processes linked together:

Look into processes linking with the help of a banking web application.

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

Link Processes

Process link