Category: Snowflake
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On August 27, 2026 in New York City, Joyce Kay Avila presented at an Open Data Science Conference (ODSC) AI Skils Accelerator event. The title of the presentation was “Building a Unified Workspace Across Enterprise Data”. This event was supported by the Snowflake Community Voices program which is a program designed to amplify the voices…
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Preview feature notice: Analytical Search is a Snowflake Open Preview Feature. Preview features are provided primarily for evaluation and testing purposes and should not be used in production systems or with production data. Review the Snowflake Preview Terms of Service and speak with your Snowflake account representative if you have any questions or concerns. Businesses…
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Snowflake’s certification program is not just a list of exams. Instead, it’s a set of domain-based and role-based pathways across the Snowflake AI Data Cloud. And it’s important to know that Specialty exams, based on specific Snowflake products and features, now have no prerequisites. Often, people ask “Which Snowflake badge should I collect first?” Really,…
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My journey to complete the second edition of the Snowflake Definitive Guide book continues! Currently, two chapters are available on the O’Reilly learning platform. Chapters for the Snowflake Native App Framework and Built-in Data Governance and Discovery were first posted in October 2025 and new chapters on the platform will be arriving over the next…
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Snowflake’s agent object enhancements make it easier than ever to move from AI agent experimentation to governed production deployment without treating every agent as a long-lived, broadly visible shared asset. Temporary agents, Personal Database agents, and secure agents each reduce friction, including setup friction, specification exposure, or shared-environment dependency. Together, these three new agents support…
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AI initiatives don’t become production-ready simply because an organization has governed data and access to capable models. AI initiatives actually become scalable when the underlying data platform can enforce access controls, withstand failures, deliver predictable performance, provide operational evidence, and connect consumption to business value. That’s why data platforms need their own well-architected framework. Infrastructure…