Learning Neo4j run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database In Detail Learning Neo4j provides you with a step-by-step approach of adopting Neo4j, the world's leading graph database. This book includes a lot of background information, helps you grasp the funda...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Birmingham, England :
Packt Publishing
2014.
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| Edition: | 1st edition |
| Series: | Community experience distilled.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628219706719 |
Table of Contents:
- Intro
- Learning Neo4j
- Table of Contents
- Learning Neo4j
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files, eBooks, discount offers and more
- Why Subscribe?
- Free Access for Packt account holders
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Downloading the color images of this book
- Errata
- Piracy
- Questions
- 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
- 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
- Node labels
- Relationship 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
- 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
- A declarative query language - Cypher
- Sweet 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
- 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
- A graph model - a simple, high-fidelity model of reality
- Graph 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
- 5. Importing Data into Neo4j
- Alternative approaches to importing data into Neo4j
- Know your import problem - choose your tooling
- Importing small(ish) datasets
- Importing data using spreadsheets
- Importing using Neo4j-shell-tools
- Importing using Load CSV
- Scaling the import
- Questions and answers
- Summary
- 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
- Access control systems
- Social networking systems
- Questions and answers
- Summary
- 7. Use Case Example - Impact Analysis and Simulation
- Impact analysis systems dissected
- Impact analysis in Business Process Management
- Modeling your business as a graph
- Which applications are used in which buildings.
- What buildings are affected if something happens to Appl_9?
- What BusinessProcesses with an RTO of 0-2 hours would be affected by a fire at location Loc_100
- Impact simulation in a Cost Calculation environment
- Modeling your product hierarchy as a graph
- Working with a product hierarchy graph
- Calculating the price based on a full sweep of the tree
- Calculating the price based on intermediate pricing
- Impact simulation on product hierarchy
- Questions and Answers
- Summary
- 8. Visualizations for Neo4j
- The power of graph visualizations
- Why graph visualizations matter!
- Interacting with data visually
- Looking for patterns
- Spot what's important
- The basic principles of graph visualization
- Open source visualization libraries
- D3.js
- Graphviz
- Sigma.js
- Vivagraph.js
- Integrating visualization libraries in your application
- Visualization solutions
- Gephi
- Keylines
- Linkurio.us
- Neo4j Browser
- Tom Sawyer
- Closing remarks on visualizations
- The "fireworks" effect
- The "loading" effect
- Questions and answers
- Summary
- 9. Other Tools Related to Neo4j
- Data integration tools
- Talend
- MuleSoft
- Business Intelligence tools
- Modeling tools
- Arrows
- OmniGraffle
- Questions and answers
- Summary
- A. Where to Find More Information Related to Neo4j
- Online tools
- Google group
- Stack Overflow
- The Neo4j community website
- The new Neo4j website
- The Neo4j Blog
- GraphGists collection
- The Cypher reference card
- Other books
- Events
- Meetup
- GraphConnect
- Conferences
- Training
- Neo Technology
- B. Getting Started with Cypher
- The key attributes of Cypher
- Key operative words in Cypher
- The Cypher refcard
- Syntax
- Index.
