Prasad Adsul
2 min readDec 17, 2023

πŸš€ "Zero to Snowflake: Day 2" ❄️

πŸ” "Decoding Snowflake's Architecture:Your 2-Minutes Data Discovery!"

Snowflake's setup combines the best of shared-disk and shared-nothing databases. It's like having a central data hub (shared-disk) accessible from all computers. Yet, when tackling questions, Snowflake cleverly uses multiple clusters (shared-nothing) for super-fast processing. It's the simplicity of shared-disk with the speed of shared-nothing!
Snowflake’s unique architecture consists of three key layers:

πŸ“ Database Storage

πŸ”„ Query Processing

🌐 Cloud Services

1. πŸ’Ύ Database Storage: Where Magic Happens!

As data enters Snowflake, it undergoes a refined transformation. Think of it as a digital maestro meticulously arranging your data into an optimized, compressed, and columnar format. It's the symphony of order, ensuring your information is not just stored but elegantly managed. This orchestrated data resides securely in the cloud, awaiting your commands with efficiency and sophistication.

2. πŸš€ Query Processing: Unleashing the Power of Virtual Warehouses!

Snowflake's query processing is like a high-tech symphony with "virtual warehouses" as the star performers. 🌟

🏭 Processing Powerhouse: Snowflake's processing layer is a dedicated factory for handling your queries.

πŸ’‘ Virtual Warehouses: These are superhero teams, MPP compute clusters working independently to process your queries with precision.

🌐 Independent Excellence: Each virtual warehouse operates solo, ensuring optimal performance without impacting others.

✨ Efficiency Unleashed: No bottlenecks, no waiting – just seamless and efficient query processing.

3. ☁️ Cloud Services: Your Data Wizards πŸ§™β€β™‚οΈ

In Snowflake, the Cloud Services layer acts like data wizards, making everything run smoothly:

πŸ” Authentication: They make sure only the right folks get into your data world.

πŸ—οΈ Infrastructure Management: Like behind-the-scenes builders, they create and maintain a strong digital base.

πŸ—„οΈ Metadata Management: Think of them as data librarians, keeping things organized so you can find them easily.

πŸ” Query Parsing and Optimization: They're the problem-solvers, making sure your questions are answered quickly.

πŸ”’ Access Control: Your privacy guardians, ensuring only authorized eyes see your data.

In simple terms, these data wizards in the Cloud Services layer work together, ensuring Snowflake handles everything seamlessly. 🌐

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Prasad Adsul
Prasad Adsul

Written by Prasad Adsul

Hey, Welcome Data guys. I love to share my knowledge and experience with you. If you find it helpful then I will be very Happy !!

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