Session-4 | Horizontal vs Vertical Scale π₯ | Virtual Warehouse Performance | #vitechtalks #snowflake
In this video, we explain Virtual Warehouse scaling strategies with a clear comparison of Horizontal Scaling vs Vertical Scaling, using Snowflake Virtual Warehouses as the core example. This session is designed for Snowflake Developers, Data Engineers, and interview preparation. πΉ Topics Covered in This Video βοΈ What is a Virtual Warehouse? Compute layer in Snowflake Handles query execution Independent from storage π Vertical Scaling (Scale Up / Down) Increase or decrease warehouse size More CPU & memory per node Best for complex and long-running queries When to scale up vs scale down Cost and performance impact π Horizontal Scaling (Scale Out / In) Add or remove clusters Multi-cluster warehouse concept Improves concurrency Best for many users / concurrent queries Auto-scale behavior explained Join this channel to get access to perks: https://www.youtube.com/channel/UCOCmIxlnxT4NICdOR1E36vQ/join #Snowflake #SnowflakeTutorial #DataWarehouse #CloudData #DataEngineering #SnowflakeBeginner #ETL #BigData #DataAnalytics #SQL #SnowflakeArchitecture #VirtualWarehouse #Snowpark #Snowpipe #Streams #DataEngineer #SnowflakeCertification #DataLake #ModernDataStack #AWS #Azure #GCP #DataPipeline #BI #PowerBI #Tableau #DataModeling #DataGovernance #ZeroCopy #TimeTravel #FailSafe #CortexAI #LLM #SnowflakeInterview #DataProfessional #TechTutorial #ViTechTalks #LearnSnowflake #DataWarehouseTutorial #CloudComputing #Database #SQLTutorial #DataScience #AnalyticsEngineering #SnowflakeTraining #snowflakebeginnerfriendly #virtualwarehouse
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