#32 Snowflake Micro-Partitioning & Clustering Explained
Автор: Cloudlearningyard
Загружено: 2025-04-17
Просмотров: 2245
Welcome back to the Snowflake Zero to Hero series!
In Part 32, we’re diving deep into one of the most important yet often overlooked performance concepts in Snowflake: Micro-Partitioning and Clustering.
🧠 Ever wondered why your queries slow down over time?
💡 Want to know how Snowflake organizes massive datasets behind the scenes?
What You’ll Learn:
What are micro-partitions in Snowflake?
How Snowflake automatically handles data partitioning?
The role of metadata in query performance.
How to leverage query pruning for faster results?
When and why to use clustering
Key clustering metrics like average_overlaps, clustering depth, and more
How to use Snowflake’s clustering information functions effectively
Whether you're a Snowflake beginner or a growing expert, this video will help you take your understanding of Snowflake’s storage and performance model to the next level.
Don’t forget to like, subscribe, and turn on notifications to stay updated as we move deeper into Snowflake architecture and performance tuning.
Got questions or topic suggestions for future videos? Drop them in the comments below!
#Snowflake #MicroPartition #Clustering #SnowflakeZeroToHero #DataEngineering #BigData #QueryPerformance #CloudDataWarehouse
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