This guide shows startups how to build scalable, modern data apps with Snowflake’s AI Data Cloud. It presents seven reference architectures for embedded analytics, serverless data stacks, streaming pipelines, machine learning, app health monitoring, IoT data processing, and Customer 360. Snowflake offers auto-scaling performance, multi-language support, and near-zero maintenance, letting teams focus on innovation. Features like Snowpark and Streamlit enable ML workflows and visualization without moving data. Startups can unify structured and semi-structured data, ensure security, and accelerate time to market while controlling costs.

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