Systems | Development | Analytics | API | Testing

Introducing Episode 1 of Data Builder Club: a series to celebrate the data leaders behind the most impactful data systems. In this episode we sit down with Matt Forrest, Director of Customer Engineering at Wherobots, geospatial advocate, and LinkedIn's go-to voice for modern data and spatial engineering. Matt opens up about his unconventional path into data, his philosophy around building reliable geospatial systems, and why a good foundation is the only thing that makes everything else possible.

Your data team doesn’t need more tools. It needs fewer bottlenecks. What if you could go from raw data to production-ready pipelines and AI workflows in a single day? With Snowflake’s Cortex Code, teams can now build, optimize, and deploy data workflows using natural language, dramatically accelerating development inside the warehouse.

Every engineering team is onboarding AI agents. Most are doing it without a governance model - static API keys, no audit trail, no way to revoke access if something goes wrong. Join us on April 15th as we go live on the topic everyone is talking about but few are solving: how to govern AI agent access to streaming data.

Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout, with no templates and no code. Teams get their time back. Data flows into downstream systems reliably. This video shows how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.