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GraphConnect 2013

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GraphConnect New York City Agenda

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Tuesday, 5 November

Day 1 GraphConnect: Neo4j Tutorial

Wednesday, 6 November

Day 2  GraphConnect: Conference

08:00 – 09:00 Breakfast
09:00 – 09:40 Welcome and New Opportunities for Connected Data
Emil Eifrem, Co-creator of Neo4j and CEO, Neo Technology

Today’s complex data is not only big, but also semi-structured and densely connected. Emil looks at how size, structure and connectedness have converged to transform the data landscape. He then goes on to look at some of the new opportunities for creating end-user value that have emerged in a world of connected data, illustrated with practical examples drawn from the telecommunications, social media and logistics sectors.
09:40 – 09:50 Fika (coffee break)
09:50 – 10:30 What’s New in Neo4j 2.0
Andreas Kollegger, Neo Technology

Andreas Kollegger is a leading speaker and writer on graph databases and Neo4j and the bridge between community and developer efforts. He works actively in the community, appearing at meetups around the world and promotes the larger Neo4j ecosystem of projects.
Neo4j Lessons Learned: A Startup’s Experience
Aseem Kishore, FiftyThree

Aseem Kishore of FiftyThree will be speaking about his experiences building an early-stage startup, The Thingdom, on Neo4j and Node.js: why he and his team chose to build on a graph database, how they did it, and what lessons they learned along the way.
Graph Applications for the Enterprise, Fast
David Colebatch, xnLogic

LightMesh quickly launched its next generation SaaS CMDB despite the challenge of a complex business domain by leveraging the xnlogic framework with Neo4j. In this talk, David will take you through some of the gotchas of enterprise application development with graphDB and how to solve them.
GraphClinic – Bring your Graph Questions and Issues!
Neo Technology’s Ian Robinson, Jim Webber, Michael Hunger, Max De Marzi, Kenny Bastani, Pernilla Lindh, and Andreas Kollegger will provide diagnosis and prescriptions, and the Neo4j Community will provide feedback.
10:30 – 10:40 Fika (coffee break)
10:40 – 11:20 DIY Graph Search
Max De Marzi, Neo Technology

Facebook Graph Search has given the Graph Database community a simpler way to explain what it is we do and why it matters.
Data Modeling in Telecoms
Craig Taverner, Amanzitel

In this talk we’ll focus on some of the details of how you actually build working graph data models that solve real cellular telecom operational problems.
Care Beyond the Hospital with Curaspan
Gino Pirri, Curaspan

Curaspan Health Group is leveraging Neo4j to enable advanced searching and security features in its next generation patient transition platform.
11:20 – 11:30 Fika (coffee break)
11:30 – 12:10 Designing and Building a Graph Database Application – Architectural Choices, Data Modeling, and Testing
Ian Robinson, Neo Technology

Ian closely looks at design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.
Route Finding in Time Dependent Graphs
Nima Montazeri and Ben Earlam, ThoughtWorks

Nima and Ben will share some of the experiences of modelling Manchester’s Metrolink network while building a real-life application – Tramchester.
MySQL to Neo4j: A DBA Perspective
David Stern, FiftyThree

This session is a walk through and best practices from installation and initial set up, through maintenance and performance tuning, all the way to production use for a series of neo4j learning opportunities for administrators.
12:10 – 13:10 Lunch
13:10 – 13:50 Keynote: Graphing the Marvel Universe
Peter Olson, Marvel Entertainment

While many organizations use the graph to solve important real-world problems, Marvel Entertainment faces a different challenge: modeling the fictional world of the Marvel Universe which has been created by thousands of creators over the past seven decades. This talk will give an overview of why graphs are such a powerful conceptual framework for modeling intellectual property and how Marvel uses them to represent the 70 years of fictional content from many different media that makes up the Marvel Universe.
13:50 – 14:00 Fika (coffee break)
14:00 – 14:40 The Five Graphs of Finance
Philip Rathle and Emil Eifrem, Neo Technology

This session will investigate the Five Graphs of Finance and explore the most innovative use cases for graph databases in finance, exemplified by actual production deployments from leading financial services companies.
Hadoop and Graph Databases (Neo4j): Winning Combination for Bioanalytics
Andrew Oliver, Open Software Integrators

This talk will describe a prototype application designed to demonstrate the ability to utilize both Hadoop and Neo4j for Big Data analysis.
Conferences are Offline Social Networks
Ahmad Iqbal, Atendy

Atendy is developing a network map of connections between people at conferences, show how organizers gain real insight towards the power brokers at their events, and empowers them to make more sponsorship revenue.

Connections Through Friends: The Second Degree and Beyond
David Fox, Snap! Interactive

This session will explore the creation of one of the largest-scale Neo4j social graphs. Discussed will be the roadblocks encountered, solutions and how we made the data meaningful to the end-user.
GraphClinic – Bring your Graph Questions and Issues!
Neo Technology’s Ian Robinson, Jim Webber, Michael Hunger, Max De Marzi, Kenny Bastani, Pernilla Lindh, and Andreas Kollegger will provide diagnosis and prescriptions, and the Neo4j Community will provide feedback.
14:40 – 14:50 Fika (coffee break)
14:50 – 15:30 Data Modeling
Michael Hunger, Neo Technology

Michael covers modeling business domains using graphs and show how they can be persisted and queried in Neo4j.
How to Make Interactive Graph Visualizations
Corey Lanum, Cambridge Intelligence

This talk will talk discuss the process of creating the graph data model in such a way to make interactive visualizations easy, and outline key pointers on how to allow useful interactions with your data.
From Dev to Dev: How Jibe Uses Neo4j
Tero Paananen, jibe.com

Come and find more about how Jibe leverages Neo4j to power a best of breed mobile job applications solution for enterprise clients. Tero will show how Jibe created a flexible graph model that adapts to varying job applications processes our clients are using.

Analyzing Career Paths with College Miner
Matthew Harris, College Miner

College Miner currently uses Neo4j to store and analyze resumes. With Neo we are able to look at career paths, timelines, and relationships of a particular resume.
15:30 – 15:40 Fika (coffee break)
15:40 – 16:20 Natural Language Search with Neo4j
Kenny Bastani, Neo Technology

Kenny will introduce you to natural language search using a Neo4j graph database. He will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Graphs Opening Medical Care Information
Dave Fauth

The current DocGraph social graph was built in Neo4J. With new enhancements in Neo4J 2.0, now was a good time to rebuild the social graph. The goal of this session is to show participants how simple it is to perform basic graph analysis of a healthcare dataset.
Wanderu – Lessons from Building a Travel Site with Neo4j
Eddy Wong, Wanderu

Wanderu is a consumer-focused search engine for buses and trains. Eddy will recount the architectural, modeling and other technical “lessons learned” and “lessons unlearned” in implementing our geospatial and search features using Neo4j in the context of a NoSQL polyglot solution.

The Rise of Graph Marketing
Jeremi Karnell, Beehaus

Jeremi makes the case that a similar paradigm needs to be established for Graph Marketing. He will share his working definition and review the need to define the market, benefits, channels, methods & metrics that would make Graphs central to a brand’s marketing strategy.
16:20 – 16:30 Fika (coffee break)
16:30 – 17:20 Keynote: A Little Graph Theory for the Busy Developer
Jim Webber, Neo Technology

Jim explores the powerful analytic techniques for graph theory and shows how powerful and accurate graph theory can be in business intelligence and predicting outcomes.
17:30 – 19:30 GraphParty
Smörgås Chef Wall Street

Drinks on us! Keep chatting about graphs and their applications with speakers and attendees after the conference at our reception at Smörgås Chef.

Learn more information on GraphConnect NY Speakers.

updated 12 October, 2013