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Neo4j Online Developer Expo and Summit
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Lightning Talk (10 minutes)
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Autodesk Inc.
Braintree
Calibre
Cambridge Intelligence
derivo GmbH & codastic
Digital Academy of the University of Mainz
e-Core
freelancer
GraphAware
Hoare Lea
Kineviz
Larus
Live Data Concepts
Muddy Boots Code
Neo4j
NodeEra Software
Northrop Grumman
PayPal
Public Prosecutor Office Brazil
Rice University
Rutgers University
Structr GmbH
Student
Under Armour
United Fighting Arts Federation
University of Craiova
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AEC
ai-ml
analysis
announcements
apoc-procedures
architecture
bloom
cloud
construction
crime
cypher
data-science-algos
digital-humanities
dotnet
education
etl
etl-data-integration
food
fraud-detection
grandstack-graphql
graph-apps
graph-visualization
healthcare-biotech
introduction
investigation
investigation-crime
java
javascript
k8s
kafka
knowledge-graph
linked-data
manufacturing
modeling
nlp
operations
python
recommendation
search
security
social-network
spark
spatial
spring
streams
technology
transport-infrastructure
versioning
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Thursday
, October 10
8:00am PDT
Keynote and Announcements
Track 1
10:00am PDT
It Depends (and why it's the most frequent answer to modelling questions)
Track 5
Intro to Neo4j for Developers
Track 1
Databases on Kubernetes Using a Custom Operator: Day 1, Day 2, and Beyond
Track 2
Making Graph Algorithms 'Clique'
Track 3
Ten to Dine: Building Possibility Spaces with Neo4j and ReactJS
Track 4
10:20am PDT
Improve your Cypher Performance with the Query Log Analyzer
Track 5
10:45am PDT
Bolt-On Your Web App to Neo4j
Track 5
Graph Visualization: Main aspects, challenges and solutions
Track 1
Neosemantics - A Linked Data Toolkit for Neo4j
Track 2
Building Spatial Search Algorithms for Neo4j
Track 3
Software Applications are Graphs:: What You Always Wanted to Know About How Structr Works
Track 4
11:05am PDT
Predicting and Prosecuting Crime in Rio de Janeiro: A Machine Learning Story
Track 5
11:30am PDT
ML-based Graph Embeddings
Track 5
Building a full-stack fraud-detection Solution with Kafka, GraphQL and Neo4j-Graph-Algorithms
Track 1
Recommendations in UDC (Unified Data Catalog) Powered by Apache Spark & Neo4J
Track 2
GRANDstack: Graphs ALL the Way Down
Track 3
How to build a knowledge graph from scratch even if you are not really a full-blown developer
Track 4
11:50am PDT
We're not just relational anymore: Teaching Neo4j as part of an introductory database course
Track 5
12:15pm PDT
Public Transport São Paulo in a graph database
Track 5
Graphs in AI and ML
Track 1
Chaos engineering with Neo4j
Track 2
APOC Pearls: The Best Tips & Tricks
Track 3
Streaming Graph Data with Kafka
Track 4
12:35pm PDT
Exploring the U.S. National Bridge Index
Track 5
1:00pm PDT
Leveraging Graph Algorithms In Visualizations With Neovis.js
Track 5
Graph Algorithms for Community Detection & Recommendations
Track 1
Discovering the Soul of a Product With Neo4j
Track 2
Monitoring Neo4j Servers and Clusters
Track 3
To be or not to be. Full Text Search tips and tricks.
Track 4
1:20pm PDT
How the GRANDstack Makes Handling Complex Data Easy
Track 5
1:45pm PDT
Modeling a Tournament in Neo4j
Track 5
Graph Embeddings
Track 1
Agile Property Graph Design Process
Track 2
Data Integration for Neo4j using Kettle
Track 3
Social media monitoring with ML-powered Knowledge Graph
Track 4
2:05pm PDT
Unearthing Historical Networks Using Neo4j and Archival Documents: An Introduction to Archivepelago
Track 5
2:30pm PDT
RDKit (cheminformatics) Neo4j Integration
Track 5
All-new SDN-RX: Reactive Spring Data Neo4j
Track 1
Graph Data Modeling Tips & Tricks
Track 2
Fix your microservice architecture using graph analysis
Track 3
Tuning Cypher
Track 4
2:50pm PDT
Intro to Graphlytic - graph visualization application
Track 5
3:15pm PDT
Challenges in knowledge graph visualization
Track 5
Creating a Data Marvel (Comics) with Spring & Neo4j
Track 1
How to keep track of change - versioning approaches in Neo4j
Track 2
Graph data for the construction industry: Modelling heating, ventilation, electrical, and other building services
Track 3
Making patterns show themselves
Track 4
3:35pm PDT
Coding a graph application from scratch with GRANDstack
Track 5
4:00pm PDT
Intuitive Graph BI Through Visual Graph Transformation
Track 5
Best Practices for Making (Very) Large Database Updates in Neo4j
Track 1
Schema-Based Security in Neo4j 4.0
Track 2
Building a Graph of History with The Codex
Track 3
Collaboration insights from data access analytics: "Follow the data"
Track 4
Timezone
Neo4j Online Developer Expo and Summit
America/Los Angeles
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Track 1
All
Regular Talk (~30 minutes)
Track 2
All
Regular Talk (~30 minutes)
Track 3
All
Regular Talk (~30 minutes)
Track 4
All
Regular Talk (~30 minutes)
Track 5
All
Lightning Talk (10 minutes)
Company
Autodesk Inc.
Braintree
Calibre
Cambridge Intelligence
derivo GmbH & codastic
Digital Academy of the University of Mainz
e-Core
freelancer
GraphAware
Hoare Lea
Kineviz
Larus
Live Data Concepts
Muddy Boots Code
Neo4j
NodeEra Software
Northrop Grumman
PayPal
Public Prosecutor Office Brazil
Rice University
Rutgers University
Structr GmbH
Student
Under Armour
United Fighting Arts Federation
University of Craiova
Visiting Researcher
Audience
Advanced
All
Beginner
Intermediate
Subject
AEC
ai-ml
analysis
announcements
apoc-procedures
architecture
bloom
cloud
construction
crime
cypher
data-science-algos
digital-humanities
dotnet
education
etl
etl-data-integration
food
fraud-detection
grandstack-graphql
graph-apps
graph-visualization
healthcare-biotech
introduction
investigation
investigation-crime
java
javascript
k8s
kafka
knowledge-graph
linked-data
manufacturing
modeling
nlp
operations
python
recommendation
search
security
social-network
spark
spatial
spring
streams
technology
transport-infrastructure
versioning
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Ryota Yamanaka
DR
David Rosenblum
Frederick Russo
Will Lyon
Alicia Frame
Wolfgang Hoeck
Ravi Krishnaswamy
Michael McKenzie
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Thursday
, October 10
Venue
Track 1
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Track 3
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Track 5
Session Type
Track 1
All
Regular Talk (~30 minutes)
Track 2
All
Regular Talk (~30 minutes)
Track 3
All
Regular Talk (~30 minutes)
Track 4
All
Regular Talk (~30 minutes)
Track 5
All
Lightning Talk (10 minutes)
Other Filters
Company
Autodesk Inc.
Braintree
Calibre
Cambridge Intelligence
derivo GmbH & codastic
Digital Academy of the University of Mainz
e-Core
freelancer
GraphAware
Hoare Lea
Kineviz
Larus
Live Data Concepts
Muddy Boots Code
Neo4j
NodeEra Software
Northrop Grumman
PayPal
Public Prosecutor Office Brazil
Rice University
Rutgers University
Structr GmbH
Student
Under Armour
United Fighting Arts Federation
University of Craiova
Visiting Researcher
Audience
Advanced
All
Beginner
Intermediate
Subject
AEC
ai-ml
analysis
announcements
apoc-procedures
architecture
bloom
cloud
construction
crime
cypher
data-science-algos
digital-humanities
dotnet
education
etl
etl-data-integration
food
fraud-detection
grandstack-graphql
graph-apps
graph-visualization
healthcare-biotech
introduction
investigation
investigation-crime
java
javascript
k8s
kafka
knowledge-graph
linked-data
manufacturing
modeling
nlp
operations
python
recommendation
search
security
social-network
spark
spatial
spring
streams
technology
transport-infrastructure
versioning
Popular