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Neo4j: The Definitive Guide: Hands-On Recipes for Production-Ready Graph Implementations

Neo4j: The Definitive Guide: Hands-On Recipes for Production-Ready Graph Implementations in Bloomington, MN

Current price: $79.99
Get it at Barnes and Noble
Neo4j: The Definitive Guide: Hands-On Recipes for Production-Ready Graph Implementations

Neo4j: The Definitive Guide: Hands-On Recipes for Production-Ready Graph Implementations in Bloomington, MN

Current price: $79.99
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Size: OS

Get it at Barnes and Noble
Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures.
Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to:
Make practical decisions in the proof of concept stage to maximize value
Revisit and revise your decisions when transitioning to production
Configure and implement observability features for in-production data graphs
Integrate graph databases into existing enterprise architectures
Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures.
Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to:
Make practical decisions in the proof of concept stage to maximize value
Revisit and revise your decisions when transitioning to production
Configure and implement observability features for in-production data graphs
Integrate graph databases into existing enterprise architectures

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