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intro Snowflake Architecture | Key Concepts of Snowflake Architecture

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Snowflake is a cloud-based data warehousing platform that is designed to handle large volumes of data from a wide variety of sources. The Snowflake architecture is built around several key concepts:

Cloud-based: Snowflake is a fully-managed cloud service that runs on infrastructure provided by cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
Separation of Storage and Compute: Snowflake separates storage and compute, which allows users to scale each independently of the other. This makes it easier to manage and optimize resources.
Virtual Data Warehouse: Snowflake Architecture provides users with a virtual data warehouse that can be used to store and analyze data from multiple sources. This allows users to query data from multiple sources as if it were stored in a single database.
Multi-cluster, Shared Data Architecture: Snowflake’s architecture is designed to be shared among multiple users, with each user having their own virtual data warehouse. Snowflake automatically manages the distribution of data across clusters to ensure that all users have access to the data they need.

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