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Thursday, October 17, 2019 
08:30 AM - 09:30 AM
| Level: | Business/Strategic
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A data cloud is where your data is available to your people and your machines – it's where your data assets are leveraged. Naturally, the data cloud will evolve to be hybrid, combining elements of your on-prem systems and systems native to public clouds. One of the obstacles is that users do not want to move their enterprise data into the cloud for security and privacy reasons. Data Virtualization addresses this obstacle by viewing your enterprise data as a knowledge graph and accessing it in real time, without the need to move the data. Knowledge Graphs form a backbone to a data cloud because they focus on the relationships between your data assets – between the databases you own, and with publicly and commercially available databases. The combining of Knowledge Graphs and Virtualization enables a hybrid data cloud that helps bring your entire organization into the data value chain.
In this talk, attendees will take away:
- A pay-as-you-go methodology to create and extend knowledge-graph schemas that model the business entities and map them to the underlying enterprise databases
- An understanding of the architecture of combining virtualization with a data cloud platform
- Use cases that leverage on-prem data with cloud data in various domains
Juan F. Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. He holds a PhD in Computer Science from The University of Texas at Austin.
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 the Institute for Applied Informatics. Juan is on the Editorial Board of the Journal of Web Semantics, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI). He was the General Chair of AMW2018, PC chair of ISWC 2017 In-Use track, co-creator of COLD workshop (7 years co-located at ISWC). He has served as a bridge between academia and industry as the current chair of the Property Graph Schema Working Group, member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC) and past invited expert member and standards editor at the World Wide Web Consortium (W3C).
Wearing his scientific hat, Juan's goal is to reliably create knowledge from inscrutable data. His research interests are on the intersection of Logic and Data for (ontology-based) data integration and semantic/graph data management, and what now is called Knowledge Graphs.
Wearing his business hat, Juan is a product manager, does business development and strategy, technical sales and works with customers to understand their problems to translated back to R&D.
Research Interest
Knowledge Graphs, Semantic Web, Databases, (Ontology-Based) Data Integration, Semantic and Graph Data Management
Contact Details
You can usually find me in Austin, Texas or on a plane.
Work: juan [at] data.world
Personal: juanfederico [at] gmail.com
Bryon is the CTO and co-founder of data.world – on a mission to build the world's most meaningful, collaborative, and abundant data resource. Bryon is a recognized leader in building large-scale consumer internet systems and an expert in data integration solutions. Bryon's 20 years of academic and professional experience spans AI research at Case Western Reserve University, enterprise software at Trilogy, consumer web experience at Amazon, and, most recently, 10 years building HomeAway.com. At HomeAway, Bryon oversaw platform development and the integration of 30 acquisitions while building the world's largest online marketplace for vacation rentals.
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