Artículo: AMZ-B0G4F3HYZ6

Mastering Neo4j Graph Databases : A Complete Guide to Cypher, Data Modeling, Graph Algorithms, and Intelligent Applications.

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Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.84 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • Neo4j is the world’s leading native graph database, powering real-time fraud detection, 360° customer views, recommendation engines, supply-chain optimization, knowledge graphs, and GenAI/RAG systems for Fortune 500 companies and hyper-scale startups alike. With native GDS (Graph Data Science), vector search, hybrid relational-graph-vector queries, GraphRAG, and built-in LLM agents, Neo4j 5.x and AuraDB dominate the exploding Graph AI and Connected Intelligence market.Written by a veteran graph architect and published author with 15+ years of hands-on Neo4j deployments at global banks, telecoms, pharmaceutical giants, and e-commerce leaders. Every pattern, code example, and architecture in this book has been battle-tested on clusters with trillions of relationships and billions of daily traversals.Mastering Neo4j Graph Databases is the definitive 2025–2026 guide to building production-grade, AI-powered graph solutions. From zero to expert, this comprehensive 600+ page volume covers Cypher mastery, enterprise data modeling, Graph Data Science algorithms, real-time fraud & anomaly detection, recommendation systems, knowledge graphs, GraphRAG, LangChain + LangGraph integration, security, clustering, AuraDB, Kubernetes, backup strategies, performance tuning, and future-proof Graph AI architectures.Advanced Cypher 10 techniques and query optimizationProduction-grade data modeling patterns for finance, healthcare, retail, telecomFull Graph Data Science pipeline: centrality, community detection, link prediction, embeddings, GraphSAGE, GraphRAGReal-world case studies: fraud rings, recommendation engines, supply-chain resilience, master data managementNeo4j AuraDB, Kubernetes Helm charts, Terraform, CI/CDSecurity, RBAC, encryption, compliance (GDPR, PCI-DSS, HIPAA)APOC procedures, custom plugins, GraphQL & REST APIsHybrid vector + graph search, LLM agents, knowledge graph reasoningMigration from relational, scaling to trillions of relationshipsDesigned for software engineers, data engineers, solution architects, data scientists, and technical leaders who need to deliver high-performance, AI-ready graph solutions today. Intermediate SQL or programming knowledge required; no prior graph experience necessary.Read the core modeling and Cypher in one weekend. Build production fraud detection or recommendation systems in under two weeks. Achieve Graph AI and GraphRAG mastery in one month. Most readers report 10× faster development and 100× faster queries compared to relational approaches.Don’t let disconnected data slow your business while competitors move faster with Graph AI. Grab the most complete, up-to-date Neo4j, mastery guide today and turn relationships into your biggest competitive advantage. Add to cart now and start building the intelligent applications that will define the next decade.

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