Riding the Berlin subway: a Graph Database Adventure with Memgraph Lab

In an exploration of graph databases using the Berlin subway system as an analogy, the blog post illustrates how relationships in such databases are akin to connections between subway stations—each with unique properties like the lines traversed, distances covered, and passenger volumes. Utilizing Memgraph Lab, the author collects and prepares data on Berlin's subway stations and lines, importing it into a graph database to visualize and analyze the complex relationships inherent in the network. The process involves importing data using Docker with Memgraph Platform and applying Cypher queries to uncover insights such as the shortest paths and common stations. The post further details styling the graph with colors to enhance visibility and understanding, leveraging RAL color values to differentiate subway lines. This immersive exercise not only demonstrates the utility of graph databases in visualizing intricate networks but also encourages further exploration of data analysis and visualization possibilities using Memgraph Lab.