Tags: #snowflake

How dbt 1.9+ transforms Iceberg table development on Snowflake. From external catalogs to bi-directional writes, the open lakehouse is now production-ready.

Data engineering agents can now generate, maintain, and optimise pipelines autonomously. We explore Google BigQuery's Data Engineering Agent and Snowflake's Openflow approach.

The shift from AI copilots to autonomous agents in your data warehouse. A deep dive into Snowflake Intelligence and what it means for data teams.

Discover how Anthropic's Claude Opus 4.5 integration with Snowflake Cortex AI brings enterprise-grade generative AI capabilities directly to your data warehouse with enhanced security and seamless accessibility.

Discover how the Open Semantic Interchange initiative is bringing together major cloud providers and data platforms to standardize semantic data exchange and break down analytics silos.

Learn how Snowflake Semantic Views create an abstraction layer that translates complex database schemas into business-friendly concepts, enabling better AI and BI integration.

Discover how Snowflake contacts address critical compliance requirements and operational challenges by establishing clear data ownership. Learn implementation patterns for GDPR, SOC 2, and data team collaboration.

Explore advanced considerations at the intersection of data and enterprise architecture. Learn about canonical data models, governance frameworks, integration patterns, multi-tenancy strategies, and how to balance standardisation with innovation at enterprise scale.