Graph Modeling in Elixir: Books and Relationships

Graph structures are uniquely suited for representing interconnected data like authors, books, genres, and publishers, yet mapping these relationships can feel daunting if you are new to functional programming. This text-based course guides you through the foundational concepts of graph theory and shows you how to implement them cleanly using Elixir. You will transition from understanding abstract nodes and edges to writing clean, maintainable functional code that queries and updates your custom data structure. What you will learn: Understand the core principles of graph database modeling including nodes, edges, and directional relationships; Define custom Elixir structs and types to represent books, authors, and metadata; Implement functional graph traversal algorithms to query connected data points; Practice modern Elixir patterns including pattern matching, recursion, and pipeline operators; Build robust lookup functions to find shared relationships, such as co-authors or related genres. You will start with the essential theory of graph structures, learn how Elixir handles state and data relationships without mutating variables, and progressively build out a fully queryable book database model. This course is designed for beginner-to-intermediate Elixir developers who want to expand their functional programming skills into data modeling and graph structures. Dive into the text and start structuring your data functionally today.