Dgraph

Load social network data into Dgraph.

Define GraphQL schema for users, posts, and relationships.

Execute graph traversal queries to find users with the most connections.

Analyze community structures using pattern matching queries.

Extract entities and relationships from various data sources.

Define a GraphQL schema to represent the knowledge graph.

Ingest the extracted data into Dgraph.

Use GraphQL queries to retrieve and explore the knowledge graph.

Load user and item data, including interactions, into Dgraph.

Define a GraphQL schema to represent users, items, and interactions.

Use graph traversal queries to find similar users and items.

Generate personalized recommendations based on similarity scores.

Load transaction data, including users, accounts, and transactions, into Dgraph.

Define a GraphQL schema to represent the transaction network.

Use graph traversal queries to identify suspicious patterns and anomalies.

Flag potentially fraudulent transactions for further investigation.

Identify key entities and relationships across different systems.

Define a unified GraphQL schema to represent the master data.

Ingest and consolidate data from various sources into Dgraph.

Use GraphQL queries to access and manage the master data.