The Global Graph Summit is part of Data Day Texas. It's a conference with in a conference. Your Data Day Texas ticket gets you into all of the Graph Summit talks and workshops.
In the past several years, we've held Graph Day events in various cities around the US. Increasingly, people have been asking us to hold one big event -- an annual conference -- instead of multiple regional ones. Following a survey to attendees, we decided that an annual conference was indeed the way to go, and the best place to host it would be in Austin - in conjunction with one of the oldest NoSQL/Big Data conferences -- Data Day Texas.
2019 marks the inaugural edition of the Global Graph Summit. We hope you'll join us.
Emil Efrim, founder of Neo4j, giving the Keynote at Graph Day / Data Day TX 2017. Check out the crowd. This is one of the reasons that Austin will be the home for the summit in 2019.
Everyone is welcome
The Global Graph Summit is an independently organized vendor-neutral conference -- bringing leaders from every corner of the graph community for sessions, workshops, and the inevitable before and after parties. Previous speakers of our Graph Day events have included Emil Efrem, creator of Neo4j; Matthias Broecheler, Inventor of the Titan Distributed Graph Database; Marko Rodriquez, creator of the Gremlin query language and of Apache Tinkerpop fame; Ted Wilmes and Jason Plurad of the JanusGraph project; Luca Garulli creator of OrientDB, Claudius Weinberger, creator of ArangoDB; Jans Aasman, creator of AllegroGraph; and many others.
January is the best time to visit Austin -- when it's not 100 degrees. Check the weather forecast weekend in advance. Chances are that you won't even need a coat while in town. Adjacent to the 2nd floor conference exhibition area is a beautiful courtyard. Coffee and espresso is less than 100 steps away, and after 1pm, we'll open the bar.
Speak at the Global Graph Summit
The Global Graph Summit seeks presentations and workshops related to the following areas:
Property Graphs, RDF Graphs, Knowledge Graphs, Graph Query Languages, Graph Theory and Algorithms, Graph Analytics and Visualization, Linked Data, Ontologies, etc.
We welcome use cases involving Neo4j, Titan, OrientDB, Tinkerpop, Gremlin, Giraph, and other tools/frameworks.
Presentations are 40 minutes including Q&A. Workshops/Deep Dives are 90 minutes long.
Case studies (not product pitches) involving multiple frameworks are especially welcome.
Check out the Graph Day Proposals Page for full details
Corey Lanum of Cambridge Intelligence speaking at Graph Day TX 2018. Corey's talk "How to Destroy Your Graph Project with Terrible Visualization" was one of the most highly rated talks at Graph Day.
Showcase your company at the Summit
The Global Graph Summit is an industry-focused event providing you the unique opportunity to get in front of architects and active practitioners who have problems to solve -- those who are looking to deploy as well as those who might be looking for a better solution. Send your best engineers to engage this audience. Visit the Data Day Texas Sponsors Page for details.
Neo4j exhibit at Graph Day TX 2017
Graph Summit Speakers
These are the speakers already confirmed for the Global Graph Summit.
Graph Keynote
Dr. Denise Koessler Gosnell (Charleston) @DeniseKGosnell
Dr. Denise Gosnell leads a team at DataStax which builds some of the largest, distributed graph applications in the world. Her passion centers on examining, applying, and evangelizing the applications of graph data and complex graph problems. As an NSF Fellow, Dr. Gosnell earned her Ph.D. in Computer Science from the University of Tennessee. Her research coined the concept of "social fingerprinting" by applying graph algorithms to predict user identity from social media interactions. Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.Dr. Gosnell will be presenting the Graph Summit Keynote: From Theory to Production.
Jans Aasman (SF Bay)
Jans Aasman (Wikipedia / LinkedIn) is a Ph.D. psychologist and expert in Cognitive Science - as well as CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of the graph database, AllegroGraph. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in- hand with numerous Fortune 500 organizations as well as US and Foreign governments. Jans recently authored an IEEE article on “Enterprise Knowledge Graphs”.
Dr. Aasman spent a large part of his professional life in telecommunications research, specializing in applied Artificial Intelligence projects and intelligent user interfaces. He gathered patents in the areas of speech technology, multimodal user interaction, recommendation engines while developing precursor technology for tablets and personal assistants. He was also a professor in the Industrial Design department of the Technical University of Delft. Dr. Aasman is a noted conference speaker at such events as Smart Data, NoSQL Now, International Semantic Web Conference, GeoWeb, AAAI, Enterprise Data World, Text Analytics, and TTI Vanguard to name a few.
Dr. Aasman will co-present the following Graph Summit session: The Intelligent Sales Organization Runs on Speech Recognition, Knowledge Graphs and AI.
Dave Bechberger (Houston) @bechbd
Dave Bechberger is a Sr. Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where he works extensively on developing their next-generation data architecture. Dave has spent his career engaging in full stack software development but specializes in building data architectures in complex data domains such as bioinformatics, oil and gas, supply chain management, etc. He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of international technical conferences including NDC Oslo, NDC London, and Graph DayTexas.
Ryan Boyd (SF Bay) @ryguyrg
Ryan Boyd (Linkedin) is a SF-based software engineer at Neo4j focused on helping developers understand the power of graph databases. Previously he was a product manager for architectural software, built applications and web hosting environments for higher education, and worked in developer relations for twenty products during his 8 years at Google. He enjoys cycling, sailing, skydiving, and many other adventures when not in front of his computer.
Ryan has been consistently one of the highest rated speakers at our conference. We're happy that he has agreed to return to Austin
Dr. Artem Chebotko (Houston) @artemchebotko
Dr. Artem Chebotko is a Solutions Architect at DataStax. His core expertise is in data modeling, data management, data mining, and data analytics. For over 15 years, he has been leading and participating in research and development projects on NoSQL, Graph, XML, Relational, and Provenance databases. He is the inventor of the Big Data Modeling Methodology for Apache Cassandra and the author of over 50 research and technical papers published in international journals and conference proceedings. He is an educator with extensive experience in both industry and academic training.
Artem will present the following graph workshop: Hands-On Introduction to Gremlin Traversals
Chris Lu (SFBay)
Chris Lu (Linkedin / Github) is a lead engineer at Uber on building the knowledge graph, leveraging nearly twenty years of experience in big and small companies on databases, federated query, search, warehouse, and building infra for machine learning on graphs. His side projects include the SeaweedFS distributed file system, Gleam and Glow for distributed MapReduce with Golang, and DBSight for database search.
Chris will be presenting the knowledge graph session: Statistically representative graph generation and benchmarking.
William Lyon (SFBay) @lyonwj
William Lyon is a software developer at Neo4j, the open source graph database. As an engineer on the Developer Relations team, he works primarily on integrating Neo4j with other technologies, building demo apps, helping other developers build applications with Neo4j, and writing documentation. Prior to joining Neo, William worked as a software developer for several startups in the real estate software, quantitative finance, and predictive API fields. William holds a Masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com.
Dr. Petra Selmer is a member of the Query Languages Standards and Research group at Neo4j, undertaking research into graph query languages and language standards, with the aim of evolving and standardizing property graph querying. She also supports the openCypher project at www.opencypher.org, and was previously part of the team designing and optimizing Neo4j’s Cypher query engine. For many years, she worked as a consultant and developer in a variety of different domains and roles and has a PhD in Computer Science from Birkbeck, University of London, where she researched flexible querying of graph-structured data.
Dr. Selmer will present the following Graph Summit session: GQL: Towards a Standardized Property Graph Query Language.
Dr. Juan Sequeda is the co-founder of Capsenta, a spin-off from his research, and the Senior Director of Capsenta Labs. He holds a PhD in Computer Science from the University of Texas at Austin. His research interests are on the intersection of Logic and Data and in particular between the Semantic Web and Relational Databases for data integration, ontology based data access and semantic/graph data management. Juan is the recipient of the NSF Graduate Research Fellowship, received 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference and the 2015 Best Transfer and Innovation Project awarded by Institute for Applied Informatics. Juan is the General Chair of AMW 2018, was the PC chair of the ISWC 2017 In-Use track, is on the Editorial Board of the Journal of Web Semantics, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI) and co-creator of the Consuming Linked Data Workshop series. Juan is a member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC) and has also been an invited expert member and standards editor at the World Wide Web Consortium (W3C).
Joshua Shinavier (San Francisco) @joshsh
Joshua Shinavier is a primordial being of the graph database domain, and holds a PhD in Web science from RPI’s Tetherless World Constellation. He contributed to the first common APIs for graph databases, the original TinkerPop query language which influenced Gremlin, and the first tools which aligned the property graph and RDF data models, starting with neo4j-rdf-sail in 2008. Other graphy adventures have include Lisp hacking at Franz Inc. and Java hacking at Aurelius. As of 2017, he is part of the knowledge graph team at Uber, where he also leads a company-wide effort to unify schemas across RPC, streaming, and storage. He feels, now as ever, that the research, business, and open source communities have a lot to learn from each other with respect to graphs and knowledge representation.
Josh will present the following Graph Summit session: A Graph is a Graph is a Graph: Equivalence, Transformations, and Composition of Graph Data Models.
Ted Wilmes (Oklahoma City) @trwilmes
Ted Wilmes, Data Architect at Expero, is a graduate of Trinity University where he studied computer science and art history. He started his professional career at a not-for-profit research and development institution where he performed contract software development work for a variety of government and commercial clients. During this time he worked on everything from large enterprise systems to smaller, cutting edge research and development projects. One of the most rewarding parts of each of these projects was the time spent collaborating with the customer.
As Ted’s career continued, he moved on to an oil and gas startup and continued to dig deeper into the data side of software development, gaining an even deeper interest in how databases work and how to eek as much performance out of them as possible. During this time he became interested in the application of graph databases to certain problem sets. Today, at Expero, Ted enjoys putting his deep knowledge of transactional graph computing to work as he helps customers of all types navigate the burgeoning property graph database landscape.
Outside of work, Ted enjoys spending time with his family out-of-doors, listening to and playing loud music, and contributing to the Apache TinkerPop project as a committer and PMC member.
Ted will present the following session: High Performance JanusGraph Batch & Stream Loading.
Chris Wixon (Atlanta)
Chris Wixon, MD, is a practicing surgeon who holds the belief that improving the quality and efficiency of clinical information has the potential to have a profound effect on healthcare delivery, costs and overall outcomes.
Chris will present the following Graph Summit session: Taming of the Shrew: Using a Knowledge Graph to capture structured Health Information Data.
Dr. Mingxi Wu (Redwood City)
Dr. Mingxi Wu is the VP of Engineering at TigerGraph responsible for product development, quality assurance, and release. Mingxi excels at engineering team building and tech leadership. Previously, he worked at Ad-Tech startup Turn (acquired by Amobee), Oracle Relational Database Optimizer Group, and Microsoft SQL Server Manageability Group. He won research awards from SIGMOD, VLDB and KDD and holds patents on big data and pending patents on graph management. Mingxi received his PhD from the University of Florida, where he specialized in database and data mining.
Mingxi will present the following session: Eight Prerequisites of a Graph Query Language.
