Summit in 60 Day 2: Advanced Innovations & Deep Dives
Turning the Summit platform announcements into modern data engineering patterns
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Summit 2026 shipped major updates across the data engineering and platform stack, but announcements alone don't reveal where they attach to real workloads. This session is for data engineers, architects, and platform teams who want the practical, architecture-oriented view of Summit: what launched, how it works, and where it fits in a modern Snowflake environment.
We translate the Summit platform announcements into concrete patterns, moving from compute and performance to ingestion, interoperability, and modernization. We show how the pieces connect, from Adaptive Compute to Iceberg to streaming ingestion to Postgres connectivity, so the technical picture is clear and grounded in real architecture.
In this session, we will work through the modern data engineering stack:
- Adaptive Compute and Adaptive Warehouses for performance without the tuning
- Iceberg v3 and open interoperability
- Snowpipe Streaming and the Openflow Connector for Oracle
- Postgres mirroring, shared tables, and transactional connectivity
- Streamlit enhancements and App Runtime, plus data sharing to conversational agents
- AIM modernization, virtualization, and migration, with Agent Identity and governance
Attendees will leave with a strong grasp of the Summit platform announcements that matter most, how the modern data engineering stack fits together, and where each launch maps to real workloads, plus practical language for bringing these capabilities into their own architecture.
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