What is the core principle behind Snowflake's decoupled storage and compute architecture?
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Snowflake's architecture separates storage and compute, enabling users to scale these resources independently, optimizing cost and performance.
Which Snowflake component is responsible for managing queries and ensuring concurrency?
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The Cloud Services Layer manages metadata, query optimization, and concurrency, ensuring efficient query execution and resource allocation.
How does Snowflake's shared data architecture benefit users?
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Snowflake's shared data architecture allows multiple users and workloads to access the same data without duplication, improving efficiency and collaboration.
What is the purpose of Snowflake's micro-partitioning feature?
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Micro-partitioning organizes data into small, optimized storage units, improving query performance and storage efficiency.
Why is Snowflake considered a cloud-native platform?
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Snowflake is cloud-native, designed to take full advantage of cloud capabilities, including seamless scaling, elasticity, and deployment across AWS, Azure, and GCP.