Data Engineering Conference

Data Day Texas 2023

Jan. 28, 2023
Austin, TX

Join us for one of the largest and most prominent data engineering conferences in the country: Data Day Texas 2023. 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 Day Texas 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:

  • Apache Iceberg
  • Clinical, proteomic and pharma knowledge graphs
  • Combatting ransomware attacks with graph technology
  • Graph data science for Python developers
  • Intro to GraphQL
  • Natural language processing
  • MLOps
  • Relational databases
  • Taxonomy, ontology and all things semantic
  • Web scraping for Python

Featured Speakers

Headshot of Data Day Texas conference speaker

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 Intro to Graph Data Science for Python Developers at Data Day Texas 2023.

Headshot of data engineering conference speaker

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.

David will be presenting Clinical Trials Exploration: Surfacing a Clinical Application From a Larger Bio-Pharma Knowledge Graph at Data Day Texas.