Iceberg Meetup: San Francisco - Featuring Iceberg GEO and Building Mobility Knowledge Graphs
Whether you're in town for the Data + AI Summit or simply curious about Apache Iceberg, join us for a fun and informative evening filled with networking, drinks, and light bites!
We’ve lined up two incredible talks from PuppyGraph and Wherobots:
Movement with a Purpose: Building Mobility Knowledge Graphs (MKGs) Straight from the Iceberg
Presented by Jaz Ku, Solution Architect at PuppyGraph
Retail development is a logistical issue: Who’s visiting, when, and where do they go? Which stores attract long visits? Which floors see congestion? How do these patterns shift hour by hour?
This talk presents the findings of Mobilytics: a Mobility Analytics Framework for Transferring Semantic Knowledge, and with it, Mobility Knowledge Graphs (MKGs) – a new way to model not just where people move, but why. By inferring trip purpose and activity context, MKGs help planners and operators understand people not as traffic, but as intent-driven agents.
Struggling to find labeled mobility data for training your LLMs? MKGs help here too. Mobilytics learns from richly labeled regions and transfers that knowledge to new areas, even with sparse or unlabeled GPS data, using powerful graph reasoning techniques.
No graph database? No problem. With Wherobots, a geospatial lakehouse built with Apache Sedona and Iceberg, and PuppyGraph, a zero-ETL graph query engine, you can extract mobility insights straight from your Iceberg tables without reshaping your infrastructure. No dedicated graph database required.
Native Geospatial in Iceberg: A New Era for Spatial & Non-Spatial Data
Presented by Jia Yu, Co-Founder and CTO at Wherobots, Co-Creator of Apache Sedona
What does Apache Iceberg’s native geospatial support mean for both spatial and non-spatial data professionals—and how can it boost your data productivity?
With modern data architectures, spatial data now fits seamlessly into existing pipelines using tools like Iceberg and Parquet. It can be treated just like any other data type, unlocking powerful opportunities for analytics, business intelligence, and beyond.
Join us to explore how Iceberg’s geospatial capabilities are built to tackle the challenges of managing geospatial data at scale—and how to integrate them into your own workflows.