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Iโm Chandra Shekhar, a Data Engineer exploring Data Engineering, AI, Cloud, and LLMs through practical learning and real-world projects.
On this channel, I share simple and practical videos on Azure, Databricks, Spark, SQL, Kusto, Power BI, LLMs, AI concepts, system design, interview preparation, and career growth in tech.
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Sudo CS
โ๏ธ ๐๐ญ๐ข๐ฅ๐ฅ ๐๐จ๐ง๐๐ฎ๐ฌ๐๐ ๐๐๐จ๐ฎ๐ญ ๐ฐ๐ก๐ฒ ๐๐ง๐จ๐ฐ๐๐ฅ๐๐ค๐ ๐ข๐ฌ ๐๐ข๐๐๐๐ซ๐๐ง๐ญ ๐๐ซ๐จ๐ฆ ๐ญ๐ซ๐๐๐ข๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ?
Let's break down the ๐๐๐๐๐๐๐๐๐๐๐๐ that changed the Data Engineering game.
If you've ever dealt with resource contention where one heavy query slows down the entire system for everyone elseโyou know the pain of traditional data warehouses.
Snowflake fixed this by completely ๐ด๐ฆ๐ฑ๐ข๐ณ๐ข๐ต๐ช๐ฏ๐จ ๐๐ต๐ฐ๐ณ๐ข๐จ๐ฆ ๐ง๐ณ๐ฐ๐ฎ ๐๐ฐ๐ฎ๐ฑ๐ถ๐ต๐ฆ.
In my latest breakdown, I dive deep into the 3 layers that make this possible:
๐๐๐ญ๐๐๐๐ฌ๐ ๐๐ญ๐จ๐ซ๐๐ ๐: How micro-partitions & data clustering actually work under the hood.
๐๐ฎ๐๐ซ๐ฒ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ : Why "Virtual Warehouses" are the secret to infinite scalability (and cost control!).
๐๐ฅ๐จ๐ฎ๐ ๐๐๐ซ๐ฏ๐ข๐๐๐ฌ: The "Brain" that handles optimisation, security, and metadata so you don't have to.
Whether you're prepping for a certification or just want to understand the "Why" behind the hype, this 10-minute guide covers the end-to-end architecture simply.
๐ Watch the full breakdown here:
6 months ago | [YT] | 0
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