Skills/Data & Analysis/Snowflake Data Cloud

Snowflake Data Cloud

MCP Ready

Enterprise data cloud integration with Cortex AI, semantic views, natural language SQL generation, and warehouse management.

Data & Analysisv1.0.0
snowflakedata-cloudanalyticssqlcortexenterprisewarehouse

Snowflake Data Cloud

Enterprise Data Analytics with AI

Connect to Snowflake Data Cloud for advanced analytics, Cortex AI integration, and natural language data exploration.

Key Features

Cortex AI Integration

  • Natural language to SQL conversion
  • Semantic layer querying
  • AI-powered data exploration
  • Intelligent query suggestions
  • Automated insights generation

Data Operations

  • Execute SQL queries
  • Browse schemas and tables
  • Preview data samples
  • Export query results
  • Schedule recurring queries

Warehouse Management

  • Monitor warehouse usage
  • Scale compute resources
  • Manage query queues
  • Track costs and credits
  • Optimize performance

Semantic Views

  • Query semantic models
  • Access business metrics
  • Use governed definitions
  • Ensure data consistency

Perfect For

  • Data Analysts exploring data
  • BI Teams building reports
  • Data Engineers managing pipelines
  • Business Users self-service analytics

Use Cases

  • Ad-hoc data analysis
  • Business intelligence queries
  • Data pipeline development
  • Cost optimization
  • Semantic layer querying
  • Cross-database analytics

Enterprise Features

  • Role-based access
  • Query history and auditing
  • Time travel queries
  • Data sharing
  • Secure data exchange

Requirements

  • Snowflake account
  • Account credentials or key pair
  • Appropriate role permissions

Based on Snowflake MCP from awesome-mcp-servers repository

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