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1. Introduction to Snowflake & Cloud
Data Warehousing

2. What is Snowflake?
Snowflake is a cloud-based data warehousing platform.
Provides scalability, elasticity, and high performance for data storage &
analytics.
Decouples compute & storage for optimized resource utilization.
Supports structured, semi-structured, and unstructured data.
Fully managed SaaS solution—no infrastructure maintenance required.

3. Why Cloud Data Warehousing?
✅Scalability – Scale up/down compute power as needed.
✅Cost Efficiency – Pay only for what you use.
✅Performance – Handles massive workloads with parallel processing.
✅Security & Compliance – Built-in encryption and governance.
✅Multi-Cloud Support – Works across AWS, Azure, and Google Cloud.

4. Snowflake Architecture Overview
Multi-Cluster Shared Data Architecture (separates compute & storage).
Three Layers:
Storage Layer – Stores structured & semi-structured data.
a.
Compute Layer (Virtual Warehouses) – Executes queries independently.
b.
Cloud Services Layer – Manages security, metadata, and optimization.
c.
Automatic scaling & workload isolation ensure high availability.

5. Key Features of Snowflake
🔹Separation of Compute & Storage – Improves cost & performance.
🔹Automatic Scaling – Handles workload spikes efficiently.
🔹Zero-Copy Cloning – Instantly clone databases without duplicating storage.
🔹Time Travel & Fail-safe – Restore data from past versions.
🔹Secure Data Sharing – Share data across accounts without moving it.

6. Feature Snowflake Traditional DW (On-Prem)
Infrastructure Fully managed (Cloud) Requires hardware & maintenance
Scalability Auto-scale Limited by physical servers
Performance
Optimized storage &
compute
Manual tuning needed
Cost Model Pay-as-you-go High upfront cost
Snowflake vs. Traditional Data Warehousing

7. Use Cases of Snowflake
✅Business Intelligence & Analytics – Fast query execution for reporting.
✅Data Lake & ETL Processing – Ingest, transform, and analyze data efficiently.
✅Machine Learning & AI – Seamlessly integrates with ML models.
✅Real-Time Data Sharing – Secure, instant access to shared datasets.
✅Multi-Cloud & Hybrid Data Management – Unified access across cloud
providers.

8. Conclusion
Snowflake revolutionizes cloud data warehousing with scalability, simplicity,
and performance.
Decoupled compute & storage enables cost-effective processing.
Ideal for enterprises looking for real-time analytics, AI, and big data
workloads.