9798296204172 - graph data modeling: mastering neo4j for advanced querying de rowe, cal (10 resultados)
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 20,94
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 21,07
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Más imágenes
- Tapa blanda
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 23,82
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,46
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 21,76
Envío por EUR 4,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 21,09
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 22,88
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
- Más imágenes
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 21,10
Envío por EUR 75,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 23,47
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. In the rapidly advancing field of data management, the ability to harness connected data is the key to unlocking powerful insights and building scalable applications. "Graph Data Modeling: Mastering Neo4j for Advanced Querying" offers a comprehensive guide to leveraging Neo4j, the leading gr…aph database, to design, query, and optimize complex systems that drive real-world impact. Through engaging case studies and hands-on examples, This book guides you through the art and science of graph data modeling, drawing from his extensive experience in building graph-based solutions. Set against the backdrop of practical applications in retail, social networks, finance, and healthcare, this book reveals how Neo4j transforms raw data into actionable insights by capturing relationships in a way that traditional databases cannot match. Learn why relational and NoSQL databases often struggle with interconnected data and how Neo4j's graph structure excels at tasks like recommendation systems, fraud detection, and knowledge graph creation. Through detailed examples, you'll see how graph databases enable efficient querying of complex relationships, delivering performance and scalability for modern applications. The book covers real-world scenarios, from identifying influential users in a social network to detecting suspicious financial transactions, demonstrating the power of graphs to solve problems that matter. This practical guide provides a clear, step-by-step approach to mastering Neo4j, with actionable techniques for: - Designing semantic graph schemas and ontologies tailored to your domain- Integrating heterogeneous data sources into a unified graph- Optimizing queries and performance for large-scale graphs- Leveraging graph algorithms and AI integrations like GraphRAG and Text2Cypher- Deploying and securing Neo4j in production with cloud solutions like Aura Whether you're a data scientist, software engineer, or technology leader aiming to build smarter, more connected systems, this book equips you with the tools and knowledge to succeed. By the final chapter, you'll not only understand why graph databases are essential for today's data-driven world but also how to implement them effectively in your own projects, paving the way for innovation and impact. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,82
Envío por EUR 43,17Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. In the rapidly advancing field of data management, the ability to harness connected data is the key to unlocking powerful insights and building scalable applications. "Graph Data Modeling: Mastering Neo4j for Advanced Querying" offers a comprehensive guide to leveraging Neo4j, the leading gr…aph database, to design, query, and optimize complex systems that drive real-world impact. Through engaging case studies and hands-on examples, This book guides you through the art and science of graph data modeling, drawing from his extensive experience in building graph-based solutions. Set against the backdrop of practical applications in retail, social networks, finance, and healthcare, this book reveals how Neo4j transforms raw data into actionable insights by capturing relationships in a way that traditional databases cannot match. Learn why relational and NoSQL databases often struggle with interconnected data and how Neo4j's graph structure excels at tasks like recommendation systems, fraud detection, and knowledge graph creation. Through detailed examples, you'll see how graph databases enable efficient querying of complex relationships, delivering performance and scalability for modern applications. The book covers real-world scenarios, from identifying influential users in a social network to detecting suspicious financial transactions, demonstrating the power of graphs to solve problems that matter. This practical guide provides a clear, step-by-step approach to mastering Neo4j, with actionable techniques for: - Designing semantic graph schemas and ontologies tailored to your domain- Integrating heterogeneous data sources into a unified graph- Optimizing queries and performance for large-scale graphs- Leveraging graph algorithms and AI integrations like GraphRAG and Text2Cypher- Deploying and securing Neo4j in production with cloud solutions like Aura Whether you're a data scientist, software engineer, or technology leader aiming to build smarter, more connected systems, this book equips you with the tools and knowledge to succeed. By the final chapter, you'll not only understand why graph databases are essential for today's data-driven world but also how to implement them effectively in your own projects, paving the way for innovation and impact. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
