Cost Optimizer (Cloud Data Platforms)

Cost Optimizer (Cloud Data Platforms)

Overview

Analyzes and optimizes costs for cloud data platforms. This skill provides deep expertise in platform-specific cost structures and optimization strategies.

Capabilities

• Snowflake credit analysis and optimization
• BigQuery slot and on-demand optimization
• Redshift node sizing
• Storage cost optimization
• Query cost estimation
• Warehouse scheduling recommendations
• Data lifecycle policy recommendations
• Reserved capacity planning

Input Schema

{
  "platform": "snowflake|bigquery|redshift|databricks",
  "usageMetrics": "object",
  "billingData": "object",
  "queryHistory": "object"
}

Output Schema

{
  "currentCost": "number",
  "optimizedCost": "number",
  "savings": "percentage",
  "recommendations": [{
    "category": "string",
    "action": "string",
    "impact": "number",
    "effort": "low|medium|high"
  }]
}

Target Processes

• Data Warehouse Setup
• Query Optimization
• Pipeline Migration

Usage Guidelines

1. Provide platform-specific usage metrics
2. Include billing data for cost baseline
3. Share query history for optimization analysis
4. Prioritize recommendations by impact and effort

Best Practices

• Regularly review and optimize warehouse sizes
• Implement auto-suspend and auto-resume policies
• Use clustering and partitioning to reduce scan costs
• Consider reserved capacity for predictable workloads
• Monitor and alert on cost anomalies