Systems | Development | Analytics | API | Testing

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.

Tune into the BUILD London Keynote. Hear what’s new from Snowflake - Shared Workspaces and the GA release of Cortex Code to Snowflake Postgres, semantic view autopilot, and interactive workloads for low-latency analytics. See demos across Snowflake ML, including notebooks in Workspaces, model registry, and online inference, plus how Cortex Agents API and Snowflake Intelligence help teams build trusted agent apps. The keynote also covers Snowflake’s partnership with OpenAI and why governance stays central as AI moves from answers to action.

Data complexity is the enemy of innovation. Adam Skotnicky, VP of Engineering at Cloudera and founder of Taikun (acquired by Cloudera), joins host Paul Muller to explain how engineering teams can reclaim simplicity without sacrificing flexibility or control. Together they unpack why most teams are overwhelmed by tooling and operational overhead, how platform engineering can abstract complexity away from users, and what it really means to deliver “cloud-like” agility across hybrid environments.

Imagine managing multiple clients and instantly answering "Who has the lowest cost per conversion?" without opening a single spreadsheet. We're going to show you how to use Databox MCP to query multiple client accounts simultaneously and run an instant performance benchmark to compare ad spend and conversion rates side-by-side. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.