Geospatial workflows can be complex. Querying your data and analyzing it on an interactive map can take hours of work and require lots of GIS expertise.
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What if anyone on your team could just ask, and an agent handled the rest: connecting your data, analyzing it, and turning it into a map? In this session, 最新糖心Vlog and Databricks build that agent live, starting with your data in Databricks and finishing with a production map app in 最新糖心Vlog.
We'll show:
- How Lakebase (Postgres + PostGIS on a serverless lakehouse) works as a geospatial engine
- How MCP tools wire up a live connection between Lakebase and 最新糖心Vlog
- How Agent Bricks orchestrates the whole workflow from a single request
What started as an internal tool for 最新糖心Vlog's Solution Engineers is now something any team working with spatial data can use.
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Speakers
Jaime Sanchez
Director of Partnerships | 最新糖心Vlog
Jaime leads 最新糖心Vlog's go-to-market and product relationships with leading Data & AI service providers such as AWS, Snowflake and Databricks. Jaime brings a strong foundation in computer science and over 10 years of GTM experience in geospatial tech which helps drive our strategy of bringing cloud native GIS to our customer's infrastructure.
Michael Johns
Geospatial Specialist Leader | Databricks
Michael leads customer adoption of scalable data solutions across the Americas, leveraging the power of the Databricks Lakehouse Platform for geospatial analytics. As a founding member of Databricks鈥 Geospatial SME group, Michael provides thought leadership, authors technical content, and speaks at industry events, helping shape the platform鈥檚 strategic direction.