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Data Day Texas 2024
Join us for one of the largest and most prominent data engineering conferences in the country: Data Day Texas 2024. 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:
- MLOps: Where do we go from here?
- Patterns of Power: Uncovering control points to influence outcomes
- Ten Simple Rules for Writing a Technical Book
- Causality: The Next Frontier of GenAI Explainability
- ELT and ETL
- Graph Query Engine
- Beyond Human Oversight: The Rise of Self-Building Knowledge Graphs in AI
- Using LLMs to Fight Health Insurance Denials: From Data Synthesis to Production
- Building Generative AI Applications: An LLM Case Study
- Streaming Plane
- Querying a Graph Through an LLM
Featured Speakers
Sean Robinson
Lead Data ScientistSean 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 data science graduate program.
David Hughs
Principal Graph ConsultantDavid 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's Talk at Data Day Texas 2024
Accelerating Insights with Memgraph and GraphXR: A Unified Approach to Graph Database Analytics and Visualization
Description
In this presentation, we will explore the potential of Memgraph and GraphXR in transforming data analytics and visualization. Memgraph, a high-performing, in-memory graph database, is renowned for its speed and scalability, offering a powerful solution for managing complex and large-scale graph data. On the other hand, GraphXR by Kineviz stands out as a browser-based visual analytics platform, providing intuitive tools for transforming complex data into clear, compelling visualizations. It excels in accelerating time to insight, enabling deep analysis of high-dimensional, big data through innovative features like geospatial and time series data representation, and data fusion from varied sources. This presentation will demonstrate how the integration of Memgraph's robust database capabilities with GraphXR's advanced visualization tools can facilitate powerful analytics and insights, catering to both technical and business users. Attendees will gain a comprehensive understanding of how these technologies can be leveraged for complex data analysis, from ingestion to visualization, and learn about their practical applications in various industries. Join us to discover how Memgraph and GraphXR together are redefining the landscape of graph database analytics and visualization.
Graphable helps you make sense of your data by delivering expert analytics, data engineering, custom dev and applied data science services.
We are known for operating ethically, communicating well, and delivering on-time. With hundreds of successful projects across most industries, we have deep expertise in Financial Services, Life Sciences, Security/Intelligence, Transportation/Logistics, HighTech, and many others.
Thriving in the most challenging data integration and data science contexts, Graphable drives your analytics, data engineering, custom dev and applied data science success. Contact us to learn more about how we can help, or book a demo today.
We are known for operating ethically, communicating well, and delivering on-time. With hundreds of successful projects across most industries, we thrive in the most challenging data integration and data science contexts, driving analytics success.
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