Snowflake
Architecture
Introductio
n 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)
Elastic scaling
for workload
optimization
No
infrastructure
management
required
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
Architectu
re
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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
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