Neo4j - A graph protect story - Couverture souple

Roussy, Sylvain; Rouyer, Nicolas; Mervaillie, Nicolas; Kutzler, Frank

Couverture souple

ISBN 10 : 2822707472 ISBN 13 : 9782822707473

Editeur : D-BOOKER, 2019

Synopsis

You may already have an idea of what Neo4j is and how it works, and maybe you've even played around with some ideas using it. The question now is how you can take your graph project all the way to production-grade. This is what is discussed in this book. The book starts with a brief introduction to Neo4j and its query language, CYPHER, to help readers who are just beginning to explore Neo4j. Then we go straight to the subject in question: how to set up a real life project based on Neo4j, from the proof of concept to an operating production-grade graph database. We focus on methodology, integrations with existing systems, performance, monitoring and security. As leading experts in the Neo4j French community, the authors have chosen an unusual format to transmit their technical know-how: they tell you a story, a graph project story, where the protagonists are members of a technical team who specializes in the representation and manipulation of strongly connected data. The plot starts when a client come in with his project. You will attend their working sessions and see how they develop the project, fight over approaches, and ultimately solve the problems they encounter. Welcome to GraphITs.Tech! This audacious and, we hope, entertaining approach allows you to experience all aspects of setting up a graph database, from the various and sometimes opposing points of view of technical and network experts, project managers, and even trainees."The future of Neo4j is one of innovation and possibility: Mervaillie, Roussy, Rouyer, and Kutzler have written an accomplished work that will help you to unlock that future." - Jim Webber, Chief Scientist at Neo4j, Inc. TOC About Neo4j and CYPHER Welcome to GraphITs.Tech! 1. A Little Bit of Method and Analysis 2. Interact with Neo4j 3. Data import/export 4. Operating Neo4j 5. Securing data Appendix Neo4j OGM and Spring Data Neo4j Appendix CYPHER Refcard

A propos du livre

À propos des auteurs

Frank Kutzler earned a PhD in physical chemistry from Stanford University. He taught chemistry for 15 years, until transitioning to software development in 2000. As a soft- ware developer, he has worked in Java development, becoming a full stack developer both as a contractor and as an employee. He has worked at a number of companies, most recently Best Buy, Inc

Nicolas Mervaillie spent over 20 years with Java and Spring in the banking, retail and e-commerce sectors, as a developer, architect and technical coach. He is currently a Senior Consultant at GraphAware where he builds some big Neo4j databases and applications on top of it. He is an Neo4j OGM and Spring Data Neo4j committer, and runs the Graph Database meetup in Lille, France

Nicolas Rouyer has been a Big Data expert at Orange for five years. He spent ten years in Digital Services Companies (ESN) before joining the Orange Group in 2009. He has solid expertise in the Big Data ecosystem and has a keen interest in data governance issues. He gives internal training at Orange on Big Data and runs the Graph Database Meetup in Toulouse

Sylvain Roussy is freelance since few months. Before he was R&D project manager at Blueway Software. Developer, trainer, consultant for over twenty years (whether on product, business or technology), he has tested the limits of RDBMS by wanting to design dynamic, flexible and scalable systems. He found answers to his many questions in Neo4j, and has since contributed to his promotion in France, notably by co-organising the Neo4j Meetup in Lyon

Détails de l'édition

• Éditeur: D-BOOKER
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 2822707472
• ISBN 13: 9782822707473
• Reliure: Broché
• Nombre de pages: 290
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible