Modern data platforms rarely live in a single ecosystem. One team might be writing data in Delta Lake (often from Databricks or Spark jobs), while analytics, governance, and consumption happens in Snowflake. Historically, “reading Delta from Snowflake” often meant external tables. But Snowflake now supports a better pattern: consume Delta […]
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In the previous blog, we proved something important: GenAI can be business-friendly and still secure. Using Snowflake Intelligence (Cortex Analyst) and governed semantic models, we showed that: Business users can ask questions naturally (no SQL required). The system answers using governed semantics (not random tables). RBAC + masking ensures the […]
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The Problem Everyone’s Worried About: Your business users are excited about Gen AI Analytics. They want to ask questions like: “Show me customer emails for active policies in California” “Which policyholders have claims over $50K?” “Give me contact details for renewals expiring this month” But your security team is nervous. […]
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Evaluating Query Acceleration Service Before You Enable: Query Acceleration Service (QAS) is one of Snowflake’s powerful features designed to accelerate large, scan-intensive queries by offloading portions of query processing to shared compute resources. However, the common question every Snowflake administrator faces is: “Should I enable QAS on my warehouse, and […]
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Freeze the Past:Using IMMUTABLE WHERE in Dynamic Tables: If you’ve ever worked in finance analytics, Every finance org has two competing needs Open period (current month): data keeps changing (late transactions, adjustments, corrections, reversals). Dashboards must stay live. Closed periods (prior months): after month-end close, numbers are signed off and […]
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Automating Snowflake External Table Creation: If you’ve worked with Snowflake External Tables, you’ve likely encountered this scenario: you have a source file with 100+ columns in S3, and you need to create an external table. The traditional approach requires manually parsing and defining each column—a tedious, error-prone process that can […]
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