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GraphConnect 2013

graphs are everywhere

GraphConnect San Francisco Agenda

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October 3: Day 1 GraphConnect: Neo4j Tutorials

08:00 Registration for Tutorials
09:00-17:00 Neo4j Tutorials
Introduction to Neo4j
Neo4j in Production
Data Modeling and Data Import
Cypher-Advanced Queries

October 4: Day 2  GraphConnect: Conference

08:00 – 09:00 Breakfast + Registration
09:00 – 09:40 Welcome
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.
Internals – Why Neo4j Rocks
Wes Freeman, Information Analysis

Wes gives a peek inside Neo4j with an introduction to the internals, including the on-disk storage, object cache, and a bit about Cypher.
The Increasing Value of Graph Visual Analysis 
Jin Kim, Tom Sawyer Software

Explore the role of graph visualization in complex analysis projects such as national security, public safety, communication networks, and financial fraud.
GraphClinic – Bring your Graph Questions and Issues!
Max De Marzi, David Montag, and Amanda Laucher, Neo Technology

Max, David and Amanda 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.
Building Hybrid Apps with Neo4j and Windows Azure
David Makogon, Microsoft

David shows us how to deploy and configure Neo4j, both standalone and HA.
Graphs to Measure and Manage Risk
Amad Fida, Brinqa

Brinqa Risk Analytics is an operational and security risk management solution that uses a graph data model as its core and Neo4j as its backend.

Business Intelligence and Analytics with the Graph
Huston Hedinger, GraphAlchemist
GraphAlchemist provides business intelligence and analytics tools for connected data, and Huston will be talking specifically about using the graph to model complex hierarchical data in enterprise IT architectures.
11:20 – 11:30 Fika (coffee break)
11:30 – 12:10 GrapheneDB: Neo4j Database as a Service
Alberto Perdomo, GrapheneDB

Graph Adoption at Gamesys Toby O’Rourke, Gamesys
How to Search, Explore and Visualize Neo4j with Linkurious
Jean Villedieu, Linkurious
Graph visualizations are cool! Learn how everyone can use Linkurious to solve common problems like correcting errors, identifying patterns, or finding and communicating insights.
12:10 – 13:10 Lunch
13:10 – 13:50 Keynote: Hacking Healthcare with Neo4j
Fred Trotter, DocGraph

Hacking Healthcare requires a really good model of the healthcare system. DocGraph is a graph of how healthcare providers collaborate in the United States, and is probably the largest named graph available to the public. It is exactly the kind of thing that is nightmare to work with in SQL and becomes pliable only when modeled and stored as graph data.
13:50 – 14:00 Fika (coffee break)
14:00 – 14:40 Graphs and Beer
Rik Van Bruggen, Neo Technology

Rik shows how non-techies can gain value from a graph database, all with beer! Learn Neo4j graph database using the Belgium beer dataset.
Graphing Enterprise IT – Representing IT Infrastructure and Business Processes as a Graph
Alan Robertson, Assimilation Project

The Assimilation Monitoring Project is an open source project providing both continuous Stealth Discovery(TM) and extreme scale monitoring.
Avoiding Deadlocks: Lessons Learned with Zephyr Health Using Neo4j and MongoDB 
Mahesh Chaudhari, Zephyr Health
Z-Platform is the new innovative powerful and complex platform to ingest data of any kind and store the data in the form of JSON documents in MongoDB and represent a sparse representation of the same in Neo4j graph database. Mahesh discusses how he tackled deadlocks and improved the performance of the system significantly. The test environment included small graphs (ranging up to 10000 relationships to very large graphs (ranging up to 39 million relationships). The average performance of the system is 3741 relationships per minute.
14:00 – 14:40
Lightning Talks
Submit your Lightning Talk »
14:50-16:20
Unconference

Michael Hunger, Peter Neubauer and Pernilla Lindh, Neo Technology
Have a great Neo4j story or want to lead a Neo4j discussion at GraphConnect ? Create your session here!
GC_graphPUBGraphs, beer, and games! What else? Chill out with Neo4j engineers, driver language authors, and Neo Technology staff at the GraphPUB located in the Mission Bay Game Room.
14:40 – 14:50 Fika (coffee break)
14:50 – 15:30 Designing and Building a Graph Database Application
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.
Using Graph Databases in Real-Time to Solve Resource Authorization at Telenor
Sebastian Verheughe, Telenor

Learn how Telenor uses Neo4j to protect data in business critical services running in production. Sebastian will discuss lessons learned both with technology and our experience after running it in production for half a year, backing many of our mission critical services.
How to Make Interactive Graph Visualizations
Corey Lanum, Cambridge Intelligence

Visualizations of graph data can often be beautiful pictures, but in order to gain value out of the graph data, it’s important that the visualizations be interactive, that the users be able to explore the data set to learn the most they can. 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.
15:30 – 15:40 Fika (coffee break)
15:40 – 16:20 The Five Graphs of Telecommunications
Philip Rathle, Neo Technology

From the network graph, to the social graph, to the call center graph, and the master data graph, Telcos worldwide have begun to use graph databases to achieve competitive gain.
Building Graph-Based Web Applications with Structr 1.0
Axel Morgner, Structr

Axel introduces Structr -the first stable release of the award-winning open-source Mobile and Web Application Framework and Content Managment System based on Neo4j.
How to Make Interactive Graph Visualizations
Mathieu Labey, Glowbl

Social Graph Glowbl uses realtime graph connections to make it’s realtime videoconferencing platform for an unlimited amount of users.

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.
16:20 – 16:30 Fika (coffee break)
16:30 – 17:10 Keynote Address – 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.
17:10 – 17:25 Closing Remarks
17:30 – 21:00 Cocktail Reception + 2nd Annual Graphies Awards Dinner
The Graphies Awards recognizes and celebrates individuals and teams around the globe who are developing innovative graph database applications.

updated 9/24/2013