Data Structures Cheat Sheet
Blog post from Memgraph
This article serves as an introduction to various data structures, such as graphs, linked lists, queues, stacks, and trees, and demonstrates how they can be represented in Memgraph, a graph database platform. Graphs are highlighted as non-linear data structures composed of nodes and relationships, useful in solving real-world problems like fraud detection and network analysis. Memgraph's capabilities are showcased through examples of creating and visualizing these data structures using specific queries and relationships. The article also covers operations associated with each data structure, such as indexing in graphs, enqueue and dequeue in queues, push and pop in stacks, and tree traversal using Breadth First Search (BFS) and Depth First Search (DFS). The discussion emphasizes Memgraph's flexibility in representing and manipulating these structures, inviting users to explore further by engaging with the Memgraph community on Discord for additional inquiries.