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  1. The Snowflake Platform

    Snowflake's serverless, managed platform makes enterprise data & AI easy, connected & trusted, featuring built-in governance, FinOps, and observability.

  2. Snowflake AI Data Cloud

    Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

  3. Snowflake key concepts and architecture

    Snowflake is powered by an advanced data platform that is provided to you as a self-managed service. Snowflake’s data platform brings together data storage, processing, and analytic …

  4. The AI Data Cloud Explained - Snowflake

    Powering the AI Data Cloud is Snowflake’s single platform. Its unique architecture connects businesses globally, at practically any scale to bring data and workloads together.

  5. About Snowflake

    Discover the origins of the Snowflake Data Cloud, where thousands of organizations have seamless access to explore, share, & unlock the true value of data.

  6. Why Snowflake AI Data Cloud?

    Yes, Snowflake offers a multi-cloud and cross-region experience. It runs on major cloud platforms (AWS, Azure and Google Cloud) across numerous global regions, providing flexibility, …

  7. Getting Started - Snowflake Documentation

    Cloud Platforms Learn about the cloud platforms that are supported for use with Snowflake.

  8. Snowflake for Analytics | AI-Ready Data Analytics Solutions

    Modernize data on an easy, trusted, and connected platform. With automated cluster management, built-in governance and zero-ETL collaboration, you save time and money.

  9. Introduction to Snowflake

    Introduction to the main tasks (and corresponding SQL commands) for getting your data into Snowflake and then using it to perform queries and other SQL operations.

  10. Snowflake Documentation

    Snowflake is pleased to announce the preview of Declarative Sharing. Declarative Sharing in the Snowflake Native App Framework enables providers to share and sell data products, and to …