Graph Data

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Books abour graph data

Tuhin Paul · Answer

Fraud Detection Scenario Entities (Nodes): Accounts : Users’ bank accounts. Transactions : Money transfer events. Flags : Fraud markers. Relationships (Edges): :SENT_TO → Account → Account (transaction). :TRIGGERED_FLAG → suspicious transaction → fraud marker. Metadata on edges → amount, timestamp, channel (ATM, online, branch).

Tuhin Paul · Answer

A Graph Database (GDB) is a specialized database designed to store, query, and manage data as graphs —mathematical structures consisting of nodes (entities) and edges (relationships between entities). Unlike traditional relational databases (which use tables/rows) or NoSQL databases (which use key-value pairs or documents), graph databases prioritize relationships as "first-class citizens," making them ideal for modeling complex, interconnected data. At its foundation, a graph database relies on three key components Nodes : Represent entities (e.g., people, products, cities). Each node can have properties (key-value metadata, e.g., a "User" node might have name: "Alice" or age: 30 ). Nodes can also have labels (categories, e.g., "User," "Product") to group similar entities (like classes in object-oriented programming). Edges : Represent directed relationships between nodes (e.g., "Alice → FRIENDS_WITH → Bob," "Product X → PURCHASED_BY → Alice"). Edges also have properties (e.g., timestamp: "2023-01-15" for a "PURCHASED_BY" edge). Index-Free Adjacency : A defining feature. Nodes directly reference their connected neighbors (edges), eliminating the need for foreign keys or expensive "joins" (unlike relational databases). Queries only traverse relevant connections, so performance depends on the number of adjacent nodes, not total data size Graph databases excel where relationships drive value Social Networks : Modeling user connections (e.g., "followers," "friends"). Recommendation Systems : Suggesting products/movies via user-item relationships (e.g., "users who liked X also liked Y"). Fraud Detection : Identifying suspicious transaction networks (e.g., "account A → sent money to B → which sent to C, a known fraud account"). Network/IT Ops : Mapping infrastructure topology (e.g., servers → connected to → switches → running → applications).

Jayraj Chhaya · Answer

Refer below Article What is a Graph Database (https://www.c-sharpcorner.com/article/what-is-a-graph-database/)

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