Snowflake Architecture
Introduction to Snowflake Architecture
Overview of Snowflake as a cloud-based data warehousing solution
Key architectural components and benefits
How it differs from traditional data warehouses
Cloud-Based Data Warehousing
Fully managed SaaS data warehouse
Built on top of cloud platforms (AWS, Azure, GCP)
No infrastructure management required
Elastic scaling for workload optimization
Multi-Cluster Shared Data Architecture
• Separation of storage, compute, and cloud services
• Multiple clusters working simultaneously
• Enables high concurrency without performance issues
• Supports multiple workloads (ETL, BI, Data Science)
Separation of Compute and Storage
• Independent scaling of compute and storage resources
• Cost efficiency: Pay only for what you use
• Storage layer: Centralized, optimized storage with automatic compression
• Compute layer: Virtual warehouses for parallel processing
Benefits of Snowflake Architectur
SCALABILITY AND FLEXIBILITY
HIGH PERFORMANCE WITH MINIMAL MAINTENANCE
SECURE AND COMPLIANT DATA
STORAGE SEAMLESS DATA
SHARING AND COLLABORATION
Summary & Conclusion
• Recap of Snowflake's key architectural features
• Why organizations choose Snowflake for modern data warehousing
• Future trends and advancements in cloud data storage