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Welcome back to AI Data Studio — where we make Snowflake, Data Engineering, and AI-assisted analytics simple and practical! In this video, we break down one of the most important design decisions in Snowflake: ✅ Should you use a Table, a View, or a Materialized View? Choosing the right option affects performance, storage cost, compute usage, and dashboard speed. So if you're building analytics models, BI dashboards, or ETL pipelines in Snowflake, this guide will help you decide what to use and when. 🧠 What You’ll Learn: ✅ What Snowflake Tables are (and best use cases) ✅ What Views are (and why they don’t store data) ✅ What Materialized Views are (and how they boost performance) ✅ Performance differences between tables vs views vs materialized views ✅ Cost trade-offs: storage vs compute ✅ Best practices for BI dashboards and reporting layers 💻 Practical Examples Covered: Using views for clean reporting logic When tables are better for transformations / staging When materialized views help improve dashboard refresh speed Common mistakes that increase cost 🧰 Tools & Concepts Used: Snowflake Web Console Snowflake SQL Query performance basics Compute + storage cost considerations 🪄 Key Takeaways: Tables = store data, flexible, good for ETL and staging Views = reusable query logic, no storage, but can be slower if complex Materialized Views = faster reads, but add storage + maintenance cost 📺 Watch Next: ▶️ Snowflake Streams & Tasks: Building Incremental Pipelines ▶️ Snowflake Time Travel & Fail-safe: How to Recover Data ▶️ Understanding Snowflake Storage vs Compute 💬 Join the Community: What do you use most — Views or Tables? Comment “MV” if you’d like a cheat sheet on when to use Tables vs Views vs Materialized Views in real-world projects. Don’t forget to Like & Subscribe for weekly Snowflake + Python + AI-powered data engineering tutorials 🚀 👉 Subscribe: AI Data Studio #Snowflake #AIDataStudio #DataEngineering #DataAnalytics #CloudComputing #SQL #BusinessIntelligence #DataWarehouse #SnowflakeTutorial #PerformanceTuning #ETL #ChatGPT materialized view vs view snowflake, snowflake views tutorial, snowflake materialized views explained, tables vs views snowflake, snowflake performance optimization, snowflake cost optimization, snowflake dashboard performance, snowflake sql tutorial, AI Data Studio, data modeling snowflake