Creating Data Pipelines With Elixir

Data pipelines are crucial for managing large volumes of data by moving it through stages such as collection, cleaning, transformation, and storage, enabling further analysis and application development. Elixir, an ideal language for implementing data pipelines due to its concurrent and parallel processing capabilities, allows developers to handle substantial data volumes effectively. The text explores how to leverage Elixir and its ecosystem, highlighting its functional programming benefits, reliability, and fault tolerance through the Erlang VM, which supports scalability and distribution. The tutorial demonstrates how to use the Flow library in Elixir to build a data pipeline, covering environment setup, project creation, and configuration for data processing. It details defining pipeline stages using Flow for tasks like data extraction, transformation, validation, and loading, with examples using product data from dummyjson.com. The tutorial emphasizes Flow's ability to create a modular, reusable, and efficient data pipeline, distinguishing data pipelines from ETL processes, and offers resources for further exploration of Elixir and Flow capabilities.