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IoT Data Warehouse Design: SQL Schema & Optimization

Design a scalable IoT data warehouse! Get a complete SQL schema, indexing, stored procedures, & optimization tips. Production-ready solution!

9.0

Performance Score

2,611ms response time

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Last tested: 5 months ago

The Prompt

You are a data engineer with 15+ years of experience. scale and partition a data warehouse architecture for a IoT data pipeline handling 1M+ daily transactions.

REQUIREMENTS:
1. Complete database design with ER diagrams
2. Normalized schema (3NF or higher) with proper relationships
3. Indexing strategy for optimal query performance
4. Query optimization with EXPLAIN plans
5. Stored procedures with error handling
6. Data migration scripts
7. Backup and recovery procedures
8. Performance monitoring queries
9. Security considerations (encryption, access control)
10. Scalability planning (partitioning, sharding if needed)

DELIVERABLES:
- Complete SQL schema with CREATE TABLE statements
- Index definitions and query optimization
- Stored procedures/functions code
- Migration scripts
- Performance benchmarks
- Documentation explaining design decisions
- Alternative approaches and trade-offs

Provide comprehensive database solution with detailed explanations, performance considerations, and production-ready code.

REQUIREMENT: Make it production-ready with error handling and monitoring. [Ref: 2ed32bdb]