Introduction to Snowflake & Cloud Data Warehousing | Best Snowflake Online Training
- 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.