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Learning Neo4j : run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database /
This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
[2014]
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 037 | |a 9781849517171 |b Packt Publishing Pvt. Ltd | ||
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| 100 | 1 | |a Bruggen, Rik van, |e author. | |
| 245 | 1 | 0 | |a Learning Neo4j : |b run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database / |c Rik Van Bruggen. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (222 pages) : |b color illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Community Experience Distilled | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed November 16, 2016). | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Graphs and Graph Theory -- an Introduction; Introduction to and history of graphs; Definition and usage of graph theory; Social studies; Biological studies; Computer science; Flow problems; Route problems; Web search; Test questions; Summary; Chapter 2: Graph Databases -- Overview; Background; Navigational databases; Relational databases; NoSQL databases; Key-Value stores; Column-Family stores; Document stores; Graph databases; The Property Graph model of graph databases. | |
| 505 | 8 | |a Node labelsRelationship types; Why (or why not) graph databases; Why use a graph database?; Complex queries; In-the-clickstream queries on live data; Path finding queries; Why not use a graph database, and what to use instead; Large, set-oriented queries; Graph global operations; Simple, aggregate-oriented queries; Test questions; Summary; Chapter 3: Getting Started with Neo4j; Neo4j -- key concepts and characteristics; Built for graphs, from the ground up; Transactional, ACID-compliant database; Made for Online Transaction Processing; Designed for scalability. | |
| 505 | 8 | |a A declarative query language -- CypherSweet spot use cases of Neo4j; Complex, join-intensive queries; Path finding queries; Committed to open source; The features; The support; The license conditions; Installing Neo4j; Installing Neo4j on Windows; Installing Neo4j on Mac or Linux; Using Neo4j in a cloud environment; Test Questions; Summary; Chapter 4: Modeling Data for Neo4j; The four fundamental data constructs; How to start modeling for graph databases; What we know -- ER diagrams and relational schemas; Introducing complexity through join tables. | |
| 505 | 8 | |a A graph model -- a simple, high-fidelity model of realityGraph modeling -- best practices and pitfalls; Graph modeling best practices; Design for query-ability; Align relationships with use cases; Look for n-ary relationships; Granulate nodes; Use in-graph indexes when appropriate; Graph database modeling pitfalls; Using ""rich"" properties; Node representing multiple concepts; Unconnected graphs; The dense node pattern; Test questions; Summary; Chapter 5: Importing Data into Neo4j; Alternative approaches to importing data into Neo4j; Know your import problem -- choose your tooling. | |
| 505 | 8 | |a Importing small(ish) datasetsImporting data using spreadsheets; Importing using Neo4j-shell-tools; Importing using Load CSV; Scaling the import; Questions and answers; Summary; Chapter 6: Use Case Example -- Recommendations; Recommender systems dissected; Using a graph model for recommendations; Specific query examples for recommendations; Recommendations based on product purchases; Recommendations based on brand loyalty; Recommendations based on social ties; Bringing it all together -- compound recommendations; Business variations on recommendations; Fraud detection systems. | |
| 520 | |a This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Database design. | |
| 650 | 0 | |a Databases |x Development. | |
| 650 | 0 | |a Databases |x Programming. | |
| 650 | 6 | |a Bases de données |x Conception. | |
| 650 | 7 | |a COMPUTERS |x Databases |x General. |2 bisacsh | |
| 650 | 7 | |a Database design. |2 fast |0 (OCoLC)fst00888032 | |
| 700 | 1 | |a Mohanta, Pratyush, |e cover designer. | |
| 776 | 0 | 8 | |i Print version: |n Druck-Ausgabe |t Bruggen, Rik Van. Learning Neo4j |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=836703 |z Texto completo |
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| 938 | |a YBP Library Services |b YANK |n 12055196 | ||
| 994 | |a 92 |b IZTAP | ||