- We will send in 10–14 business days.
/images/books/14872834/9781098165659.jpg)
- Author: Christophe Willemsen
- Publisher: O'Reilly Media
- ISBN-10: 1098165659
- ISBN-13: 9781098165659
- Format: 17.8 x 23.3 x 2.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.23:15:40
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Christophe Willemsen
- Publisher: O'Reilly Media
- ISBN-10: 1098165659
- ISBN-13: 9781098165659
- Format: 17.8 x 23.3 x 2.1 cm, minkšti viršeliai
- Language: English English
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
Reviews