Emil Eifrem, Neo4j Co-Creator and CEO - Keynote
Jim Webber, Neo4j Chief Scientist - Keynote
Subject to change.
Companies have spent billions of dollars in their legacy enterprise software apps to manage their supply chain, sales forecasting, accounting management, customers relationships, and other aspects of their enterprise. In order to get business insight across their enterprise, companies have used old technology to build a complex business intelligence stack. Learn more...Mark Kvamme, Co-Founder, Drive Capital and
Miroculus is a molecular diagnostics company that leverages the potential of microRNAs as biomarkers and has created the most easy to use and automated platform for their detection. MicroRNAs are small non-coding RNA molecules, whose primary role is to regulate the expression of our genes. Learn more...Jorge Soto, Co-Founder and CTO, Microculus and
We'll explore the exciting new Core-Edge clustering architecture for Neo4j. We'll see how Neo4j uses the Raft protocol for a robust underlay for intensive write operations, and how the new scale-out mechanism provides enormous power for very demanding graph workloads. Learn more...Alistair Jones, Neo4j Engineer and Max Sumrall, Neo4j Engineer
Neo4j is frequently integrated with other databases. With APOC you have the means of accessing these data sources directly from Cypher. You can either import data into the graph, fetch additional information for your graph query from another source or just visualize the other database as a graph. Learn more...Stefan Armbruster, Neo4j Field Engineer
Marriott International, the world’s largest hospitality company, needed a new pricing engine to drive both revenue and competitive differentiation. The older pricing engine was being stretched by complex pricing rules that resulted in long pricing update cycles despite spending on massive amount of hardware and tuning the legacy application. Learn more...Scott Grimes, eCommerce and CMS Senior Director/Architect, Marriott
At Cablevision S.A we are using Neo4j to store the Graph of our Network Topology and then made some impact analysis and root cause when a network element fails. We have documented our topology in detail with different type of elements (Switches, fiber cables, amplifiers, Hubs and more) with location, metadata of the status of the element and the information about relationship between them. Learn more...
Securing, monitoring and logging access to a system that stores customer data is the key part of enterprise security. In the upcoming Neo4j 3.1 release, we improve upon existing enterprise-class security features and raise the bar for safeguarding customer data and meeting compliance requirements. As part of the session, I will preview newly added support for AD/LDAP and time-permitting we will play with user defined roles and annotating user defined procedures with security roles. Learn more...Igor Borojevic, Director of Product Mgmt, Neo4j
The world of business has changed, and far more value is now put on every single piece of data. In order to remain agile and respond quickly to new trends, organizations are striving to record and report on data as an asset, just like any other within the business. Learn more...Aaron Wallace, Principal Product Manager, Pitney Bowes
In late 2015, the FT Semantic Metadata team investigated graph databases as an alternative to, or perhaps additional store for their existing semantic datastore. After a brief spike we picked Neo4j and then re-wrote a host of microservices in GoLang, from surprisingly memory hungry Java services. It was an interesting journey of changing culture, technologies, and learning. Learn more...Dan Murphy, Senior DevOps, Financial Times
The interest in Docker has increased significantly since its inception. According to a report compiled by a leading cloud-scale monitoring company, Datadog, two-thirds of the companies that try docker adopt it and the adopters have increased their container count by five times over a period of nine months. Neo4j has also embraced Docker by supporting official images and also offering specific images of its own. Learn more...Dippy Aggarwal, Ph.D Candidate, Univ of Cincinnati
By integrating a Neo4j powered generic workflow engine into its manufacturing process, Glidewell Laboratories has been able to take advantage of the traditional benefits of graph databases to streamline company processes, integrate departments and provide visibility throughout the organization. Learn more...Galit Gontar, Software Engineer and
No one would argue that Healthcare is among one of the most complicated industries in the United States. While there are many public datasets can be found on FDA, CMS website, it is hard to see the general picture of how does each stakeholder, such as providers, drug manufacturers, lobbying systems, and governors link to each other. Learn more...Yaqi Shi, MS candidate of Health Informatics, University of SF
Ask any project manager and they will tell you the importance of reviewing lessons learned prior to starting a new project. The lesson learned databases are filled with nuggets of valuable information to help project teams increase the likelihood of project success. Learn more...David Meza, Chief Knowledge Architect, NASA
This talks explores how we worked with Lending Club to create a live, active, self-updating repository service, containing nearly all virtual hardware, network and software components and their dependencies, enabling continuous deployment in any cloud environment at scale Learn more...David Brian Ward, Telegraph Hill Software, CEO & Founder
This session covers the typical security questions that are difficult to answer using the existing AD / LDAP management tools used by the enterprise. I will provide an overview on the process of adapting the graph as part of a practical approach to answering these questions. As part of the session I will detail an AD reference model developed in conjunction with one of our important AD customers and I will show how to leverage cypher and visualization to develop better insight into how AD domains can be better understood, refactored and managed.Chris Upkes, Neo4j Field Engineer
Using Neo4j’s new binary BOLT protocol in Neo4j 3.0, our friends from Larus IT in Italy developed a JDBC driver, which was just released in early July. This talk briefly explains the architecture on the JDBC driver. After that we'll demo various JDBC enables tools like SquirrelSQL, Pentaho, QlikView, Talend, JasperReports, and take a look at how they access your graph.Stefan Armbruster, Neo4j Field Engineer
We created Hetionet — a network that encodes decades of knowledge from biomedical research. Hetionet is a hetnet — a network with multiple node and relationship types. Version 1.0 contains 47,031 nodes of 11 types and 2,250,197 relationships of 24 types. Learn more...Daniel Himmelstein, Postdoctoral Fellow, Univ of Pennsylvania
We have created a large Neo4J database that integrates the results from textmining, experimental data, and biological background knowledge. The utility of this graph is twofold: 1.Identify promising compounds to be tested as a starting point for drug development. 2. Better understand the results of large scale compound testing in cellular assays using imaging technology. Learn more...Stephan Reiling, Senior Scientist, Novartis
The following might sound all too familiar: we’re taking and sharing more photos than ever before, and as a result we’re drowning in our photos. Somewhere in that pile or stream of photos are the ones that really matter – if only we could find them. To make this easier Albumprinter created a solution which recently launched with more than 500 million photos for 1 million existing customers. Learn more...Ruben Heusinkveld, Technical Lead, and
This session will briefly discuss the value of those algorithms, and then dive into how we used them to analyze the US Presidential Election based on Twitter data. You'll see a mixture of code, visualizations, and thoughtful analysis to better understand the conversations happening around the election.John Swain, Product Manager, Data Science & Analytics, Right Relevance, and
Graph databases have been at the forefront of helping organizations manage and generate insights from data relationships, and applying those insights in real-time to drive competitive advantage. As organizations gain value in deploying graph databases, the data volumes managed are growing exponentially pushing the limits of large-scale in-memory graph processing. Learn more...Brad Brech, Distinguished Engineer, IBM
Interactive applications for exploration and visualisation of the content of a graph-store require multiple components like diagrams, charts and tables that are connected to each other. This is exactly what Graphileon’s InterActor offers, using an extensible set of UI and backend functions that are connected by triggers to create meaningful interactions. Learn more...Tom Zeppenfeldt, Director & Founder, Graphileon
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. Learn more...Alessandro Negro, Chief Scientist, GraphAware
Corey will use visual examples to explain the quirks (and importance) of dynamic and geospatial graphs, and how they can be stored, explored and queried in Neo4j. He will then show how graph visualization tools empower users to explore connections between people, events, locations and times. Learn more...Corey Lanum, Commercial Director, Cambridge Intelligence
Launched in 2009, Cisco’s Hierarchy Management Platform aimed at consolidating and improving master data management by creating a one-stop shop for Enterprise hierarchies. Fast forward seven years and the mission has expanded to something even more intriguing: utilizing cross-hierarchy relationships to simplify and automate Cisco’s functional processes. Learn more...Andrew Chappell, Technical Program Mgr, Cisco
There is a wall that separates the Graph Databases and the RDF & Semantics worlds. A significant portion of the bricks in this wall are made of misconceptions and assumptions that need to be clarified, and the reality is that analysts and vendors have historically failed to help in this task. Learn more...Jesús Barrasa PhD, Neo4j Field Engineer
This talk will present how a small start-up (Waveonics) with no prior graphical database experience employed the simplicity, versatility and flexibility of Neo4j to handle the complex and dynamic roadway conditions found in crowdsourced street map data. Learn more...Blake Nelson, Founder, Waveonics
Streaming data processing that takes data from many sources, analyses it and trains models of understanding is used in more and more places. The popularity of frameworks like Apache Spark and Flink throughout the industry demonstrates that. Learn more...Michael Hunger, Head of EMEA Developer Relations
Build a good knowledge of graph databases, beginning with the core functionality of the Neo4j graph database.
How to design and implement a graph data model and associated queries.
Deploy and maintain Neo4j Enterprise edition in production.
Build a real-time recommendation engine from the ground up.
Build upon your existing knowledge of the Cypher query language and set you on the path to mastery.All classes run from 9:00am - 5:00pm. Open to GraphConnect Attendees only Complete training details above, click on the Training tab