Index

A

• access control
  • modeling, for content change / Controlling access for content change
  • groups, defining / Modeling access control groups and employees
  • employees, defining / Modeling access control groups and employees
  • access groups, adding / Adding access groups to Neo4j
  • employees, adding / Adding employees to Neo4j
  • data model, querying for employee access / Querying the data model to find what is accessible to an employee
• airport, data model
  • information, extracting / Extracting airport information from flights
  • breaking out, as node / Breaking airports out as a node
  • flights, connecting / Connecting flights to airports
  • flights, delinking / Delinking flights and cities
  • cities, delinking / Delinking flights and cities
  • refactored data model, querying / Querying the refactored data model
• Atomicity, Consistency, Isolation, Durability (ACID)
  • about / Choosing Neo4j for exploring graph databases

B

• bookings
  • historical data, analyzing / Analysis of the historical data
  • patterns, discovering / Querying to discover patterns
• business logic
  • about / Business logic should lie in code

C

• categories, city recommendations
  • modeling / Modeling categories
  • creating / Creating categories in Neo4j
  • multiple categories, creating / Cities and categories
• Cypher
  • about / Using Cypher to operate on Neo4j
  • using / Using Cypher to operate on Neo4j
  • used, for searching path / Using Cypher to find a path

D

• data model
  • building, for flight bookings / Building a data model for booking flights
  • hotels information, capturing at airports / Capturing information about hotels at airports
  • airports, modeling / Modeling airports and hotels
  • hotels, modeling / Modeling airports and hotels
  • airport information, extracting / Extracting airport information from flights
  • migration, avoiding with single query / Reasons for not migrating using a single query
  • hotels, adding / Adding hotels to airports
  • hotels, fetching / Fetching hotels
  • limitations / There is no correct model

E

• entities
  • identifying / Identifying the entities

F

• flight bookings
  • data model, building / Building a data model for booking flights
  • ecosystem model / A simple model of the bookings ecosystem
  • modeling, in RDBMS / Modeling bookings in an RDBMS
  • creating / Creating bookings and users in Neo4j, Creating bookings in Neo4j
  • user journeys, searching / Finding all journeys of a user
  • booking history, searching of user / Queries to find the booking history of a user
  • upcoming journeys, searching of user / Upcoming journeys of a user

G

• geographical regions, hierarchies
  • modeling / Modeling geographical regions
  • countries, adding / Adding countries and regions to Neo4j
  • regions, adding / Adding countries and regions to Neo4j
• graph database
  • about / Reasons to use graph databases
  • advantages / Reasons to use graph databases
  • use cases / What to use a graph database for
  • exploring, with Neo4j / Choosing Neo4j for exploring graph databases
  • using / Graphs are more than social
• graphs
  • in mathematics / Graphs in mathematics

H

• hierarchies
  • modeling / Modeling hierarchies
  • geographical regions, modeling / Modeling geographical regions
  • hotel chains, modeling / Modeling hotel chains
• hotel chains, hierarchies
  • modeling / Modeling hotel chains
  • adding / Adding hotel chains to Neo4j

I

• index-free adjacency
  • about / Storage – native graph storage versus non-native graph storage
• indices
  • about / Indices
  • adding / Indices
• information
  • discovering / Information and paths
• itinerary
  • creating / Creating an itinerary from flights and cities
  • information / Information and paths
  • path / Information and paths
  • path, searching with Cypher / Using Cypher to find a path
  • business logic / Business logic should lie in code

L

• labels
  • about / The property graph model

M

• MATCH clause
  • about / Using Cypher to find a path

N

• native graph storage
  • versus non-native graph storage / Storage – native graph storage versus non-native graph storage
• Neo4j
  • used, for exploring graph database / Choosing Neo4j for exploring graph databases
  • about / Choosing Neo4j for exploring graph databases
  • modeling and technical affordances / Choosing Neo4j for exploring graph databases
  • URL / Introduction to modeling nodes and relationships
  • references / Further reading and exploration
  • limitation / What to watch out for while using Neo4j
• neo4j-shell
  • about / Introduction to modeling nodes and relationships
• nodes
  • about / Graphs in mathematics, The property graph model
  • modeling / Introduction to modeling nodes and relationships
• non-native graph storage
  • versus native graph storage / Storage – native graph storage versus non-native graph storage

P

• path
  • discovering / Information and paths
  • searching, Cypher used / Using Cypher to find a path
• primary key
  • about / Identifying the entities
• properties
  • about / The property graph model
• property graph model
  • about / The property graph model
  • concepts / The property graph model

Q

• query output
  • variable name / Creating cities in Neo4j
  • variable values / Creating cities in Neo4j
  • modification summary / Creating cities in Neo4j

R

• RDBMS
  • used, for modeling flight bookings / Modeling bookings in an RDBMS
• recommendations, cities
  • to travelers / Recommending cities to travelers
  • categories, modeling / Modeling categories
  • based on previous travels / Recommending cities based on previous travels
  • based on other travelers / Recommending cities on the basis of other travelers
• recommendations, hotels
  • to travelers / Recommending hotels to travelers
  • from same chains / Recommending hotels from the same chains
  • based on similar travelers visit / Recommending hotels visited by similar travelers
  • based on price range / Recommending hotels that match a price range
  • improving / Improving recommendations
• refactored data model
  • querying / Querying the refactored data model
• relationships
  • about / Graphs in mathematics, The property graph model
  • modeling / Introduction to modeling nodes and relationships
  • traversing / Traversing relationships
• RETURN clause
  • about / Using Cypher to find a path

S

• schema index
  • about / Indices
• storage
  • about / Storage – native graph storage versus non-native graph storage
  • native graph storage / Storage – native graph storage versus non-native graph storage
  • non-native graph storage / Storage – native graph storage versus non-native graph storage

T

• temporal data
  • modeling, as chains / Considerations for modeling temporal data as chains
• TinkerPop stack
  • about / Choosing Neo4j for exploring graph databases
  • URL / Choosing Neo4j for exploring graph databases
• traveler reviews
  • capturing, for hotels / Capturing traveler reviews for hotels
  • model, creating for reviews / A model for reviews and comments
  • model, creating for comments / A model for reviews and comments
  • adding / Adding reviews to Neo4j
  • listing, for hotel / Listing reviews for a hotel
  • used, for rating hotel / Using reviews to find the average rating of a hotel
  • comments, adding / Adding comments to Neo4j
  • temporal data, modeling as chains / Considerations for modeling temporal data as chains
• travel itinerary
  • system, designing / Designing a system to get a travel itinerary
  • flights, modeling / Introduction to modeling flights and cities
  • cities, modeling / Introduction to modeling flights and cities
  • entities, identifying / Identifying the entities
  • cities, creating / Creating cities in Neo4j
  • flights, adding / Adding flights to Neo4j

U

• users
  • creating / Creating bookings and users in Neo4j, Creating users

W

• WITH clause
  • about / Using Cypher to find a path