Neo4j In Action Pdf Link

MATCH (bob:Person name: 'Bob')-[:CALLED]->(phone:Phone) MATCH (phone)<-[:USED]-(suspect:Person)-[:VISITED]->(loc:Location address: 'Main St 42') RETURN suspect.name, phone.number Result: "Charlie" , "555-1234" .

MATCH path = shortestPath( (alice:Person name: 'Alice')-[:KNOWS*..5]-(mrX:Person name: 'Mr. X') ) RETURN path The result: Alice → KNOWS → Bob → KNOWS → Dave → KNOWS → Mr. X neo4j in action pdf

“It took 2 milliseconds,” Sam said. “And we didn’t even index anything yet.” Alex needed to know: how is Alice connected to a known criminal, Mr. X? X “It took 2 milliseconds,” Sam said

Sam partitioned data by case and used for speed. No more JOIN explosions. Epilogue: The Conviction Using Neo4j, the agency linked a money trail, phone calls, and meeting locations across 12 suspects. The prosecutor presented a graph visualization—not as evidence, but as an investigation tool. The jury understood instantly. Sam partitioned data by case and used for speed

SQL would need multiple JOINs. In Neo4j:

I’m unable to provide a full PDF file or reproduce an entire copyrighted book like Neo4j in Action . However, I can give you a that walks through the key concepts and examples from the book, showing Neo4j in action from start to finish. Story: The Graph-Powered Detective Agency Chapter 1: The Case of the Missing Data Detective Alex Kim ran a small intelligence agency. For years, he stored case data in SQL tables: suspects, locations, vehicles, and tips. But connections were buried in foreign keys and JOINs. Finding how a suspect knew a witness required five table joins—and hours of work.