Graph Querying with Gremlin and Elixir

Managing highly connected data can quickly become inefficient and complex when using traditional relational databases. This text-based course guides you through leveraging the power of graph databases in Elixir using the Gremlin traversal language. You will transition from relational thinking to graph-native modeling, mastering how to represent complex networks of data and query them with high performance directly from your Elixir applications. What you'll learn: - Understand the core concepts of graph databases, including vertices, edges, properties, and graph schemas. - Configure and establish secure connections to Gremlin-compatible graph databases from Elixir. - Build and execute graph traversals using the gremlex library in Elixir. - Apply pattern matching and Elixir functional pipelines to process query results efficiently. - Optimize graph queries for performance, identifying and resolving traversal bottlenecks. - Implement robust error handling and write clean ExUnit tests for your graph-querying logic. The course begins with foundational graph database concepts and Gremlin syntax before progressing systematically to establishing database connections, executing complex traversals, and integrating query logic seamlessly into your Elixir projects. This course is designed for Elixir developers looking to work with graph databases, as well as backend engineers curious about graph traversal paradigms, with no prior Gremlin experience required. Start reading today to unlock the potential of graph-based data relationships in your Elixir applications.