Data Engineering Conference

Data Day Texas 2022

June 13, 2022
Austin, TX

Join us for one of the largest and most prominent data engineering conferences in the country: Data Day Texas 2022. Graphable is an official sponsor for this year’s event, and we’re excited to welcome speakers and attendees from across the globe to discuss the latest project, tools, and techniques in the world of data.

Data Engineering Conference Topics

Data Day Texas is built to stimulate collaboration, insights, and networking opportunities. From data integration to semantic technologies, this data engineering conference will feature synergistic workshops and sessions on a variety of topics, including:

  • Artificial intelligence
  • Data engineering
  • Data integration
  • Data mesh
  • Data science
  • Graph technologies
  • Graph neural networks
  • Knowledge graphs
  • Natural language processing
  • Network science
  • Machine learning
  • Ontology and taxonomy

Featured Speakers


Sean Robinson

Lead Data Scientist
Sean Robinson is a versatile data scientist with several years of experience optimizing data processes and building intelligent data systems. Specifically, he specializes in using graph data science and Neo4j to abstract complex systems within a domain into a highly dimensional, interconnected knowledge graph. Sean currently serves as lead data scientist at Graphable. He also teaches new network science courses at University of North Carolina for Charlotte’s sata science graduate program.

Sean will be presenting History of Network Science: A Look at How Networks Have Connected Us at this year’s data engineering conference.


David Hughs

Principal Graph Consultant
David Hughes has 10 years of experience designing and building graph solutions to surface novel insights that would remain dormant in other data structures. His background includes software development, cloud architecture, medical research, and clinical practice.

David has worked in healthcare and biotech within the intensive care, interventional radiology, oncology, cardiology, and proteomics domains. When he’s not helping our clients uncover data epiphanies from complex data, he enjoys endurance running, hiking, and spending time with his family outdoors.